David Dunson | Academic Influence

David Dunson's AcademicInfluence.com Rankings

David Dunson

Mathematics

#2871

World Rank

#4346

Historical Rank

#1107

USA Rank

Statistics

#150

World Rank

#196

Historical Rank

#65

USA Rank

mathematics Degrees

Download Badge

Mathematics

David Dunson's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

Why Is David Dunson Influential?

(Suggest an Edit or Addition)

According to Wikipedia, David Brian Dunson is an American statistician who is Arts and Sciences Distinguished Professor of Statistical Science, Mathematics and Electrical & Computer Engineering at Duke University. His research focuses on developing statistical methods for complex and high-dimensional data. Particular themes of his work include the use of Bayesian hierarchical models, methods for learning latent structure in complex data, and the development of computationally efficient algorithms for uncertainty quantification. He is currently serving as joint Editor of the Journal of the Royal Statistical Society, Series B.

(See a Problem?)

David Dunson's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Bayesian Data Analysis (1996) (10094)
Bayesian data analysis, third edition (2013) (2716)
High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence. (2003) (1885)
Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma (2017) (677)
The genetic landscape of mutations in Burkitt lymphoma (2012) (533)
Changes with age in the level and duration of fertility in the menstrual cycle. (2002) (527)
How to make more out of community data? A conceptual framework and its implementation as models and software. (2017) (522)
Genetic heterogeneity of diffuse large B-cell lymphoma (2013) (488)
Increased Infertility With Age in Men and Women (2004) (478)
Multitask Compressive Sensing (2009) (452)
The timing of the “fertile window” in the menstrual cycle: day specific estimates from a prospective study (2000) (417)
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images (2012) (392)
Sparse Bayesian infinite factor models. (2011) (390)
Deficiency of either cyclooxygenase (COX)-1 or COX-2 alters epidermal differentiation and reduces mouse skin tumorigenesis. (2002) (368)
Dirichlet–Laplace Priors for Optimal Shrinkage (2014) (352)
GENERALIZED DOUBLE PARETO SHRINKAGE. (2011) (341)
Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives. (2001) (333)
The Nested Dirichlet Process (2008) (319)
Bayesian latent variable models for clustered mixed outcomes (2000) (307)
Kernel stick-breaking processes. (2008) (303)
Bayesian Structural Equation Modeling (2007) (270)
Commentary: practical advantages of Bayesian analysis of epidemiologic data. (2001) (263)
Bayesian density regression (2007) (258)
Random Effects Selection in Linear Mixed Models (2003) (245)
Beta-Negative Binomial Process and Poisson Factor Analysis (2011) (242)
Day-specific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation. (1999) (224)
Nonparametric Bayes Modeling of Multivariate Categorical Data (2009) (222)
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019) (218)
Bayesian Spatial Quantile Regression (2011) (215)
Bayesian consensus clustering (2013) (206)
Nonparametric Bayesian models through probit stick-breaking processes. (2011) (201)
The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells. (2014) (200)
Why is Parity Protective for Uterine Fibroids? (2003) (185)
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds (2010) (183)
Nonparametric Bayes Conditional Distribution Modeling With Variable Selection (2009) (182)
Mucus observations in the fertile window: a better predictor of conception than timing of intercourse. (2004) (169)
Bayesian Multivariate Logistic Regression (2004) (168)
Robust Bayesian Inference via Coarsening (2015) (156)
Male mice song syntax depends on social contexts and influences female preferences (2015) (150)
Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales (2016) (148)
Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis (2009) (145)
On the frequency of intercourse around ovulation: evidence for biological influences. (2004) (143)
WASP: Scalable Bayes via barycenters of subset posteriors (2015) (143)
The Genetic Basis of Hepatosplenic T-cell Lymphoma. (2017) (140)
Bayesian Methods for Highly Correlated Exposure Data (2007) (140)
Dynamic Latent Trait Models for Multidimensional Longitudinal Data (2003) (139)
Fixed and Random Effects Selection in Linear and Logistic Models (2007) (138)
Breast-feeding and the prevalence of asthma and wheeze in children: analyses from the Third National Health and Nutrition Examination Survey, 1988-1994. (2003) (134)
Bayesian Isotonic Regression and Trend Analysis (2004) (133)
Scalable Bayes via Barycenter in Wasserstein Space (2015) (131)
The dynamic hierarchical Dirichlet process (2008) (131)
Parallelizing MCMC via Weierstrass Sampler (2013) (129)
A Bayesian Approach for Joint Modeling of Cluster Size and Subunit‐Specific Outcomes (2003) (128)
Generalized Beta Mixtures of Gaussians (2011) (128)
Bayesian Gaussian Copula Factor Models for Mixed Data (2011) (126)
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (2014) (124)
Nonparametric Bayes Modeling of Populations of Networks (2014) (123)
Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2 (2017) (116)
Multivariate convex regression with adaptive partitioning (2011) (115)
Efficient Gaussian process regression for large datasets. (2011) (113)
Maternal serum level of the DDT metabolite DDE in relation to fetal loss in previous pregnancies. (2005) (113)
Bayesian latent variable models for mixed discrete outcomes. (2005) (112)
Prospective study of breast-feeding in relation to wheeze, atopy, and bronchial hyperresponsiveness in the Avon Longitudinal Study of Parents and Children (ALSPAC). (2008) (111)
Robust and Scalable Bayes via a Median of Subset Posterior Measures (2014) (106)
Natural limits of pregnancy testing in relation to the expected menstrual period. (2001) (106)
Deep Learning with Hierarchical Convolutional Factor Analysis (2013) (106)
Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017) (105)
Approximate Bayesian inference for quantiles (2005) (104)
Lognormal and Gamma Mixed Negative Binomial Regression (2012) (102)
Bayesian monotone regression using Gaussian process projection (2013) (101)
Fast Bayesian Inference in Dirichlet Process Mixture Models (2011) (100)
Nonparametric Bayes dynamic modelling of relational data (2013) (98)
Bayesian dynamic modeling of latent trait distributions. (2006) (96)
Bayesian nonparametric covariance regression (2011) (95)
Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology (2016) (93)
Vulvar Mucus Observations and the Probability of Pregnancy (2003) (93)
Multi-Task Compressive Sensing (2007) (92)
Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes (2008) (92)
Posterior contraction in sparse Bayesian factor models for massive covariance matrices (2012) (87)
Scalable and Robust Bayesian Inference via the Median Posterior (2014) (87)
Bayesian Tensor Regression (2015) (86)
Mutational fingerprints of aging. (2002) (86)
Posterior consistency in conditional distribution estimation (2013) (85)
Bayesian Inference on Order‐Constrained Parameters in Generalized Linear Models (2003) (85)
A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice (2016) (85)
Bayesian Inference and Testing of Group Differences in Brain Networks (2014) (84)
Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries (2018) (84)
Bayesian Covariance Selection in Generalized Linear Mixed Models (2006) (82)
Maternal serum levels of polychlorinated biphenyls and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) and time to pregnancy. (2005) (81)
Association of physical activity with development of uterine leiomyoma. (2007) (81)
Bayesian Kernel Mixtures for Counts (2011) (81)
Bayesian Semiparametric Structural Equation Models with Latent Variables (2010) (81)
The whole genome landscape of Burkitt lymphoma subtypes. (2019) (81)
Bayesian geostatistical modelling with informative sampling locations. (2011) (78)
How are species interactions structured in species-rich communities? A new method for analysing time-series data (2017) (78)
BAYESIAN GENERALIZED PRODUCT PARTITION MODEL (2010) (78)
Bayesian Nonparametrics: Nonparametric Bayes applications to biostatistics (2010) (77)
Bayesian Nonparametric Functional Data Analysis Through Density Estimation. (2009) (76)
Logistic Stick-Breaking Process (2011) (75)
Dependent Hierarchical Beta Process for Image Interpolation and Denoising (2011) (74)
Mapping population-based structural connectomes (2018) (73)
Ice-sheet bed 3-D tomography (2010) (72)
Effects of sexual intercourse patterns in time to pregnancy studies. (2007) (70)
Bayesian Semiparametric Joint Models for Functional Predictors (2009) (70)
Parallelizing MCMC with Random Partition Trees (2015) (70)
The local Dirichlet process (2011) (68)
Nonparametric Bayesian density estimation on manifolds with applications to planar shapes. (2010) (67)
Bayesian Manifold Regression (2013) (67)
The relationship between cervical secretions and the daily probabilities of pregnancy: effectiveness of the TwoDay Algorithm. (2001) (66)
Bayesian Factorizations of Big Sparse Tensors (2013) (66)
Assessing human fertility using several markers of ovulation (2001) (65)
Bayesian Compressed Regression (2013) (65)
Bayesian Conditional Tensor Factorizations for High-Dimensional Classification (2013) (65)
Boosting Variational Inference (2016) (64)
MCMC for Imbalanced Categorical Data (2016) (63)
Transgenic Mouse Model (2006) (63)
Semiparametric Bayes hierarchical models with mean and variance constraints (2010) (62)
Methodologic and statistical approaches to studying human fertility and environmental exposure. (2003) (61)
Cervical mucus secretions on the day of intercourse: an accurate marker of highly fertile days. (2006) (61)
Improving prediction from dirichlet process mixtures via enrichment (2014) (61)
Tensor network factorizations: Relationships between brain structural connectomes and traits (2018) (60)
Simplex Factor Models for Multivariate Unordered Categorical Data (2012) (59)
Multi-task compressive sensing with Dirichlet process priors (2008) (59)
Bayesian Semiparametric Isotonic Regression for Count Data (2005) (58)
Bayesian Models for Multivariate Current Status Data with Informative Censoring (2002) (57)
Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data (2006) (57)
Bayesian variable selection in quantile regression (2013) (57)
Statistics in the big data era: Failures of the machine (2018) (54)
Nonparametric Bayes local partition models for random effects. (2009) (54)
Uterine Leiomyomata in Relation to Insulin-like Growth Factor-I, Insulin, and Diabetes (2009) (54)
ANISOTROPIC FUNCTION ESTIMATION USING MULTI-BANDWIDTH GAUSSIAN PROCESSES. (2011) (53)
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation (2009) (53)
Extrinsic Local Regression on Manifold-Valued Data (2015) (53)
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods (2017) (52)
Variational Gaussian Copula Inference (2015) (51)
Computationally efficient joint species distribution modeling of big spatial data (2019) (49)
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling (2013) (49)
Antiretroviral therapy effects on genetic and morphologic end points in lymphocytes and sperm of men with human immunodeficiency virus infection. (2001) (49)
Simple, scalable and accurate posterior interval estimation (2016) (48)
Nonparametric Bayesian matrix completion (2010) (48)
Bayesian Latent Factor Regression for Functional and Longitudinal Data (2012) (47)
Parallel MCMC via Weierstrass Sampler (2013) (47)
A Bayesian Model for Fecundability and Sterility (2000) (46)
Bayesian Inferences on Predictors of Conception Probabilities (2005) (46)
The Matrix Stick-Breaking Process (2008) (44)
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning (2011) (44)
Scaling up Data Augmentation MCMC via Calibration (2017) (44)
Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis. (2010) (43)
Bayesian nonparametric inference on stochastic ordering. (2008) (43)
Latent Stick-Breaking Processes (2010) (43)
Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society (2014) (42)
Hierarchical kernel stick-breaking process for multi-task image analysis (2008) (42)
Impaired Limbic Gamma Oscillatory Synchrony during Anxiety-Related Behavior in a Genetic Mouse Model of Bipolar Mania (2011) (42)
Bayesian Graphical Models for Multivariate Functional Data (2014) (42)
Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics (2014) (41)
Approximate Dynamic Programming for Storage Problems (2011) (41)
Modeling Human Fertility in the Presence of Measurement Error (2000) (40)
Bayesian cumulative shrinkage for infinite factorizations. (2019) (40)
Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples. (2019) (40)
Dynamic Nonparametric Bayesian Models for Analysis of Music (2010) (40)
Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting (2011) (39)
Locally Adaptive Dynamic Networks (2015) (39)
Repulsive Mixtures (2012) (39)
Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies (2010) (38)
Multiresolution Gaussian Processes (2012) (38)
Random effect and latent variable model selection (2008) (38)
A transformation approach for incorporating monotone or unimodal constraints. (2005) (37)
Bayesian shrinkage (2012) (36)
Bayesian Adaptive Regression Splines for Hierarchical Data (2007) (36)
Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design (2012) (36)
Bayesian Inference on Changes in Response Densities Over Predictor Clusters (2008) (36)
Locally adaptive factor processes for multivariate time series (2012) (36)
Extrinsic Gaussian Processes for Regression and Classification on Manifolds (2017) (34)
Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors (2009) (33)
Common and individual structure of brain networks (2017) (33)
Bayesian Semiparametric Multiple Shrinkage (2010) (32)
Nonparametric Bayes classification and hypothesis testing on manifolds (2012) (32)
Predicting Viral Infection From High-Dimensional Biomarker Trajectories (2011) (32)
Bayesian Model Selection and Averaging in Additive and Proportional Hazards Models (2005) (31)
Intrinsic Gaussian processes on complex constrained domains (2018) (30)
Luteinizing Hormone in Premenopausal Women May Stimulate Uterine Leiomyomata Development (2006) (30)
Optimal approximating Markov chains for Bayesian inference (2015) (30)
TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS. (2014) (30)
Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus. (2007) (30)
The Kernel Beta Process (2011) (29)
Bayesian methods for latent trait modelling of longitudinal data (2007) (29)
The Hastings algorithm at fifty (2020) (29)
The matrix stick-breaking process for flexible multi-task learning (2007) (29)
Subspace segmentation by dense block and sparse representation (2016) (29)
Nonparametric Bayes regression and classification through mixtures of product kernels (2010) (29)
Benchmark pregnancy rates and the assessment of post-coital contraceptives: an update. (2015) (29)
Polar Radar for Ice Sheet Measurements (PRISM) (2007) (28)
Bayesian nonparametric multivariate convex regression (2011) (27)
Learning Low-Dimensional Signal Models (2011) (27)
Posterior consistency in linear models under shrinkage priors (2011) (27)
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process (2007) (27)
Factor Analytic Models of Clustered Multivariate Data with Informative Censoring (2001) (27)
Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model. (2001) (27)
Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle (2001) (26)
Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy (2007) (26)
Bayesian network‐response regression (2016) (26)
Bayesian dynamic financial networks with time-varying predictors (2014) (26)
Bayesian crack detection in ultra high resolution multimodal images of paintings (2013) (26)
Bayes Variable Selection in Semiparametric Linear Models (2011) (25)
Bayesian Modeling of Markers of Day-Specific Fertility (2003) (25)
Classification with Incomplete Data Using Dirichlet Process Priors (2010) (25)
Latent Nested Nonparametric Priors (with Discussion). (2018) (25)
Modeling Tumor Onset and Multiplicity Using Transition Models with Latent Variables (1999) (25)
Nonparametric Bayes modeling with sample survey weights. (2014) (25)
Bayesian Factor Analysis for Inference on Interactions (2019) (25)
Diagonal Orthant Multinomial Probit Models (2013) (24)
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents (2010) (24)
Estimation of order-restricted means from correlated data (2005) (24)
Approximations of Markov Chains and High-Dimensional Bayesian Inference (2015) (23)
Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management (2017) (23)
Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds (2012) (23)
Statistical analysis of skin tumor data from Tg.AC mouse bioassays. (2000) (22)
Symmetric Bilinear Regression for Signal Subgraph Estimation (2018) (22)
Bayesian Conditional Density Filtering (2014) (22)
Median Selection Subset Aggregation for Parallel Inference (2014) (22)
Data augmentation for models based on rejection sampling (2014) (22)
Factors Influencing Growth and Survival of the Killifish, Rivulus marmoratus, Held inside Enclosures in Mangrove Swamps (1999) (22)
Bayesian Nonparametric Modeling of Higher Order Markov Chains (2015) (21)
Sequential Markov Chain Monte Carlo (2013) (21)
A Foxp 2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice (2019) (21)
Bayesian Multivariate Isotonic Regression Splines (2007) (21)
Some Issues in Assessing Human Fertility (2000) (21)
NONPARAMETRIC BAYES KERNEL-BASED PRIORS FOR FUNCTIONAL DATA ANALYSIS (2009) (21)
Geometrically Tempered Hamiltonian Monte Carlo (2016) (21)
Bayesian Inferences on Umbrella Orderings (2005) (20)
Semiparametric Bayesian latent trajectory models (2006) (20)
Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes (2012) (20)
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion (2019) (19)
Reduced Fertilization Rates in Older Men When Cervical Mucus Is Suboptimal (2005) (19)
Accounting for unreported and missing intercourse in human fertility studies. (2000) (19)
Marginally specified priors for non‐parametric Bayesian estimation (2012) (19)
Enriched Stick-Breaking Processes for Functional Data (2014) (19)
Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor (2008) (19)
Bayesian nonparametric regression with varying residual density (2014) (19)
Bayesian incidence analysis of animal tumorigenicity data (2001) (19)
Bayesian Logistic Gaussian Process Models for Dynamic Networks (2014) (19)
Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables (2012) (18)
A hybrid bayesian approach for genome-wide association studies on related individuals (2015) (18)
DECOrrelated feature space partitioning for distributed sparse regression (2016) (18)
Compressed Gaussian Process for Manifold Regression (2016) (18)
Summarizing the Motion of Self‐Propelled Cells: Applications to Sperm Motility (1999) (18)
Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods (2022) (18)
Bayesian hierarchically weighted finite mixture models for samples of distributions. (2008) (18)
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data (2008) (18)
Latent factor models for density estimation (2011) (18)
Distinguishing Effects on Tumor Multiplicity and Growth Rate in Chemoprevention Experiments (2000) (18)
Bayesian nonparametric inference on the Stiefel manifold (2013) (17)
Bayesian inference for Matérn repulsive processes (2013) (17)
Comparing and Weighting Imperfect Models Using D-Probabilities (2016) (17)
Selecting Factors Predictive of Heterogeneity in Multivariate Event Time Data (2004) (17)
Lipid Adjustment for Chemical Exposures: Accounting for Concomitant Variables (2013) (17)
Semiparametric classification in hierarchical functional data analysis (2005) (17)
Nonparametric Bayes inference on conditional independence (2014) (16)
Bayesian Model Selection in Factor Analytic Models (2008) (16)
Nonparametric Bayes modelling of count processes (2013) (16)
Geodesic Distance Estimation with Spherelets (2019) (16)
Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies (2014) (16)
Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters (2017) (16)
Inhibitory Effect of Low Salinity on Growth and Reproduction of the Estuarine Sheepshead Minnow, Cyprinodon variegatus (1998) (16)
Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer’s Disease (2019) (16)
Hierarchical Latent Dictionaries for Models of Brain Activation (2012) (16)
High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections (2012) (16)
Efficient Bayesian Model Averaging in Factor Analysis (2006) (16)
Bayesian learning of joint distributions of objects (2013) (16)
Bayesian inference on quasi-sparse count data (2016) (16)
Bayesian multivariate mixed-scale density estimation (2011) (15)
Bayesian generalized double Pareto shrinkage (2010) (15)
Fitting semiparametric random effects models to large data sets. (2006) (15)
Bayesian analysis of mutational spectra. (2000) (15)
Diffusion based Gaussian process regression via heat kernel reconstruction (2019) (15)
Posterior simulation across nonparametric models for functional clustering (2011) (15)
Deep learning? (1999) (14)
Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts (2017) (14)
Escaping the curse of dimensionality in Bayesian model based clustering (2020) (14)
A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data (2001) (14)
Bayesian nonparametric hierarchical modeling (2009) (14)
Mechanistic Hierarchical Gaussian Processes (2014) (14)
Minimax Optimal Bayesian Aggregation (2014) (14)
A Proportional Hazards Model for Incidence and Induced Remission of Disease (2002) (14)
Spatio-Temporal Modeling of Legislation and Votes (2013) (14)
Online Variational Bayes Inference for High-Dimensional Correlated Data (2011) (14)
Bayesian constraint relaxation. (2018) (14)
High‐Dimensional Variable Selection in Meta‐Analysis for Censored Data (2011) (13)
MULTIVARIATE KERNEL PARTITION PROCESS MIXTURES. (2010) (13)
Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach (2015) (13)
Relationships between Human Brain Structural Connectomes and Traits (2018) (13)
Classification via Bayesian Nonparametric Learning of Affine Subspaces (2011) (13)
Path Following and Empirical Bayes Model Selection for Sparse Regression (2012) (13)
Expandable factor analysis (2014) (13)
Shared kernel Bayesian screening (2013) (13)
Random orthogonal matrices and the Cayley transform (2018) (13)
Two-Level Stochastic Search Variable Selection in GLMs with Missing Predictors (2010) (13)
Bayesian Inferences in the Cox Model for Order‐Restricted Hypotheses (2003) (13)
Bayesian selection of predictors of conception probabilities across the menstrual cycle. (2006) (13)
Bayesian Distance Clustering (2018) (13)
Fiedler Regularization: Learning Neural Networks with Graph Sparsity (2020) (12)
A generalized Bayes framework for probabilistic clustering (2020) (12)
Constrained inference through posterior projections (2018) (12)
Bayesian sparse linear regression with unknown symmetric error (2016) (12)
Multiscale Bernstein polynomials for densities (2014) (12)
Efficient posterior sampling for high-dimensional imbalanced logistic regression. (2019) (12)
Digital cradle removal in X-ray images of art paintings (2014) (12)
Personalised estimation of a woman’s most fertile days (2016) (12)
EMPIRICAL BAYES DENSITY REGRESSION (2007) (12)
Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation (2015) (12)
Approximations of Markov Chains and Bayesian Inference (2015) (12)
Bayesian Modeling of Incidence and Progression of Disease from Cross‐Sectional Data (2002) (12)
Inefficiency of Data Augmentation for Large Sample Imbalanced Data (2016) (11)
Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process. (2012) (11)
Multiband multistatic synthetic aperture radar for measuring ice sheet basal conditions (2004) (11)
Nonparametric Bayes Stochastically Ordered Latent Class Models (2011) (11)
Removing the influence of group variables in high‐dimensional predictive modelling (2018) (11)
Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions (2011) (11)
Centered Partition Processes: Informative Priors for Clustering (with Discussion). (2019) (11)
Improving Risk Assessment: Research Opportunities in Dose Response Modeling to Improve Risk Assessment (2002) (11)
Bayesian Isotonic Regression for Discrete Outcomes (2003) (11)
IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES. (2019) (11)
Bayesian Conditional Density Filtering for Big Data (2014) (11)
Efficient Manifold and Subspace Approximations with Spherelets (2017) (11)
Reducing over-clustering via the powered Chinese restaurant process (2018) (11)
Sparse Variational Analysis of Linear Mixed Models for Large Data Sets. (2011) (10)
Bayesian Variable Selection via Particle Stochastic Search. (2011) (10)
Generalized Dynamic Factor Models for Mixed-Measurement Time Series (2014) (10)
Scalable geometric density estimation (2016) (10)
Generalized infinite factorization models. (2021) (10)
No penalty no tears: Least squares in high-dimensional linear models (2015) (10)
Nonparametric graphical model for counts (2019) (10)
Bayesian isotonic density regression. (2011) (10)
Recycling Intermediate Steps to Improve Hamiltonian Monte Carlo (2015) (10)
Modeling of changes in tumor burden (2001) (10)
Tree-Structured Infinite Sparse Factor Model (2011) (10)
Dose-dependent number of implants and implications in developmental toxicity. (1998) (9)
Bayesian Multiscale Modeling of Closed Curves in Point Clouds (2014) (9)
Default Priors and Efficient Posterior Computation in Bayesian Factor Analysis (2010) (9)
Graph based Gaussian processes on restricted domains (2020) (9)
Models for papilloma multiplicity and regression: applications to transgenic mouse studies (2000) (9)
Projected t-SNE for batch correction (2019) (9)
Incorporating heterogeneous intercourse records into time to pregnancy models (2003) (9)
Constrained Bayesian Inference through Posterior Projections (2018) (9)
Gaussian process models (2013) (9)
Dynamic Model for Multivariate Markers of Fecundability (2010) (9)
Stochastically ordered multiple regression. (2010) (9)
Targeted Random Projection for Prediction From High-Dimensional Features (2017) (9)
Estimating densities with non‐linear support by using Fisher–Gaussian kernels (2019) (9)
Quantifying uncertainty in variable selection with arbitrary matrices (2015) (9)
Adaptive dimension reduction with a Gaussian process prior (2011) (9)
Scalable Approximations of Marginal Posteriors in Variable Selection (2015) (8)
Common and Individual Structure of Multiple Networks (2017) (8)
Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions (2016) (8)
Diffusion Based Gaussian Processes on Restricted Domains (2020) (8)
Fast Moment Estimation for Generalized Latent Dirichlet Models (2016) (8)
Ground-based multi-channel synthetic-aperture radar for mapping the ice-bed interface (2008) (8)
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods (2017) (8)
On the consistency theory of high dimensional variable screening (2015) (8)
Semiparametric Bernstein-von Mises Theorem: Second Order Studies (2015) (8)
Semiparametric Bayes Multiple Testing: Applications to Tumor Data (2010) (8)
Bayesian Modeling of Time‐Varying and Waning Exposure Effects (2003) (7)
Semiconvex Regression for Metamodeling-Based Optimization (2014) (7)
Theoretical limits of microclustering for record linkage (2018) (7)
Locally adaptive Bayesian covariance regression (2012) (7)
Efficiently resolving rotational ambiguity in Bayesian matrix sampling with matching (2021) (7)
Theoretical Limits of Record Linkage and Microclustering (2017) (7)
Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data (2019) (7)
Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity (2020) (7)
BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES. (2019) (7)
Spatial Multivariate Trees for Big Data Bayesian Regression (2020) (7)
Bayesian genome‐ and epigenome‐wide association studies with gene level dependence (2016) (7)
Scalable multiscale density estimation (2014) (6)
Kernel local partition processes for functional data (2008) (6)
Bayesian Local Extremum Splines. (2017) (6)
Inferring Manifolds From Noisy Data Using Gaussian Processes (2021) (6)
Posterior convergence rates in non-linear latent variable models (2011) (6)
The Multiple Bayesian Elastic Net (2010) (6)
Convex mixture regression for quantitative risk assessment (2017) (6)
Integrative Genetic and Clinical Analysis through Whole Exome Sequencing in 1001 Diffuse Large B Cell Lymphoma (DLBCL) Patients Reveals Novel Disease Drivers and Risk Groups (2016) (6)
Variable Selection in Nonparametric Random Effects Models (6)
Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax (2018) (6)
EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS. (2020) (6)
A framework for probabilistic inferences from imperfect models (2016) (6)
Bayesian inference on group differences in brain networks (2014) (6)
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets (2019) (6)
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process (2015) (5)
Bayesian Estimation of Survival Functions under Stochastic Precedence (2004) (5)
Spatial meshing for general Bayesian multivariate models (2022) (5)
Learning phenotype densities conditional on many interacting predictors (2014) (5)
Closer than they appear: A Bayesian perspective on individual‐level heterogeneity in risk assessment (2021) (5)
COMMON AND INDIVIDUAL STRUCTURE OF BRAIN (2018) (5)
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices (2011) (5)
Finite sample posterior concentration in high-dimensional regression (2012) (5)
Perturbed factor analysis: Improving generalizability across studies (2019) (5)
Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data (2021) (5)
Bayesian Multi-Plate High-Throughput Screening of Compounds (2017) (5)
Bayesian Model Uncertainty in Mixed Effects Models (2008) (5)
Scalable Bayesian inference for time series via divide-and-conquer (2021) (5)
1 NONPARAMETRIC FUNCTIONAL DATA ANALYSIS THROUGH BAYESIAN DENSITY ESTIMATION (2007) (5)
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks (2018) (5)
Bayesian Joint Models of Cluster Size and Subunit-Specific Outcomes (5)
PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES. (2020) (5)
Basics of Markov chain simulation (2013) (5)
Evaluating, comparing, and expanding models (2013) (5)
Bayesian modelling of networks in complex business intelligence problems (2015) (5)
Bayesian Nonparametric Higher Order Hidden Markov Models (2018) (5)
Density estimation and modeling on symmetric spaces (2020) (5)
Single Factor Transformation Priors for Density Regression (2011) (5)
Soft Tensor Regression (2019) (5)
Bayesian Modeling of Multiple Lesion Onset and Growth from Interval‐Censored Data (2004) (4)
Nonparametric Bayes modeling for case control studies with many predictors (2016) (4)
Topic Modeling with Nonparametric Markov Tree (2011) (4)
Active learning of cortical connectivity from two-photon imaging data (2018) (4)
Performance of tests of association in misspecified generalized linear models (2006) (4)
Approximated Bayesian Inference for Massive Streaming Data (2013) (4)
Robust Optimization and Inference on Manifolds (2020) (4)
Modelling multiple ovulation, fertilization, and embryo loss in human fertility studies. (2001) (4)
Bayesian semi-parametric multiple shrinkage (2007) (4)
Semiparametric Bayesian local functional models for diffusion tensor tract statistics (2012) (4)
On posterior consistency of tail index for Bayesian kernel mixture models (2015) (4)
Modular Bayes screening for high-dimensional predictors (2017) (4)
Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis (2021) (4)
Models for robust inference (1995) (4)
Covariate-dependent dictionary learning and sparse coding (2011) (4)
Bayesian modeling of temporal properties of infectious disease in a college student population (2014) (4)
Posterior Computation with the Gibbs Zig-Zag Sampler (2020) (4)
Adaptive sampling for Bayesian geospatial models (2014) (4)
Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation. (2019) (4)
Analysis of space-time relational data with application to legislative voting (2013) (4)
Multiscale Dictionary Learning for Estimating Conditional Distributions (2013) (4)
Classification via local manifold approximation (2019) (4)
Curved factor analysis with the Ellipsoid-Gaussian distribution (2022) (4)
The genetic landscape of immune-competent and HIV lymphoma (2012) (3)
Stochastic Lipschitz Q-Learning (2019) (3)
Efficient manifold approximation with spherelets (2022) (3)
Bayesian Functional Data Modeling for Heterogeneous Volatility (2017) (3)
Hierarchical Bayesian Embeddings for Analysis and Synthesis of High-Dimensional Dynamic Data (2012) (3)
Bayesian Higher Order Hidden Markov Models (2018) (3)
Generalized Admixture Mapping for Complex Traits (2011) (3)
Bayesian hierarchical modeling of simply connected 2D shapes (2012) (3)
Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds (2020) (3)
Probability and inference (2013) (3)
Bayesian time-aligned factor analysis of paired multivariate time series (2019) (3)
Bayesian inference on the Stiefel manifold (2013) (3)
Removing Cradle Artifacts in X-Ray Images of Paintings (2016) (3)
Sub-optimality of some continuous shrinkage priors (2016) (3)
Parallel inversion of huge covariance matrices (2013) (3)
Modeling the Effects of a Bidirectional Latent Predictor from Multivariate Questionnaire Data (2004) (3)
Bayesian Local Contamination Models for Multivariate Outliers (2011) (3)
Gaussian Process Subspace Regression for Model Reduction (2021) (3)
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering (2020) (3)
Multi-scale graph principal component analysis for connectomics (2020) (3)
Corrections to “Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds” [Dec 10 6140-6155] (2011) (3)
Sparse Variational Analysis of Large Longitudinal Data Sets (2009) (3)
Bayesian Joint Analysis of Heterogeneous Data (2012) (3)
Maximum pairwise Bayes factors for covariance structure testing (2018) (3)
Extrema‐weighted feature extraction for functional data (2017) (2)
Adaptive posterior convergence rates in non-linear latent variable models (2017) (2)
Multi-task classification with infinite local experts (2009) (2)
PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits (2021) (2)
Stochastic Volatility Regression for Functional Data Dynamics (2012) (2)
Computationally efficient Markov chain simulation (2013) (2)
Fast Bayesian Functional Data Analysis: Application to basal body temperature data. (2009) (2)
Bag of DAGs: Flexible & Scalable Modeling of Spatiotem- poral Dependence (2021) (2)
Bayesian Local Extrema Splines (2016) (2)
study cycle : day specific estimates from a prospective The timing of the " fertile window " in the menstrual (2000) (2)
Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups (2019) (2)
Lipschitz Bandit Optimization with Improved Efficiency (2019) (2)
Compressed Gaussian Process (2014) (2)
Bayesian Inferences on Shape Constrained Hormone Trajectories in the Menstrual Cycle (2003) (2)
Bayesian neural networks and dimensionality reduction (2020) (2)
Latent factor density regression models (2012) (2)
Book Reviews (2014) (2)
Multiscale Graph Comparison via the Embedded Laplacian Distance (2022) (2)
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph (2021) (2)
Bayesian clustering of high-dimensional data (2020) (2)
Book Reviews (2014) (2)
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference (2020) (2)
Calibrated Data Augmentation for Scalable Markov Chain Monte Carlo (2017) (2)
Bayesian semiparametric clustering of functional predictors (2006) (2)
Bayesian Modular and Multiscale Regression (2018) (2)
Rejoinder: Nonparametric Bayes Modeling of Populations of Networks (2017) (2)
Auto-encoding graph-valued data with applications to brain connectomes (2019) (2)
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data (2021) (2)
Book Reviews (2014) (2)
Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States (2018) (2)
Distributed Bayesian clustering using finite mixture of mixtures (2020) (2)
Effect of antioxidants on the papilloma response and liver glutathione modulation mediated by arsenic in Tg.AC transgenic mice (2003) (1)
MULTIVARIATE MIXED MEMBERSHIP MODELING: INFERRING DOMAIN-SPECIFIC RISK PROFILES. (2019) (1)
Non-Oscillatory Pattern Learning for Non-Stationary Signals (2018) (1)
Asymptotics and connections to non-Bayesian approaches (2013) (1)
Bayesian Functional Principal Components Analysis using Relaxed Mutually Orthogonal Processes (2022) (1)
Consistent Entropy Estimation for Stationary Time Series (2019) (1)
Locally Adaptive Bayesian Multivariate Time Series (2013) (1)
TwoDay Algorithm in predicting fertile time. Authors' reply (2002) (1)
Functional Clustering in Nested Designs (2010) (1)
Probabilistic inference from big & complex data (2016) (1)
Extended Stochastic Block Models (2020) (1)
Identifying vulnerable brain networks associated with Alzheimer's disease risk. (2022) (1)
A Bayesian Approach for Assessing Heterogeneity in Generalized Linear Models (2007) (1)
Variable length trajectory compressible hybrid Monte Carlo (2016) (1)
Unifying inference on brain network variations in neurological diseases: The Alzheimer's case (2015) (1)
Composite mixture of log-linear models for categorical data (2020) (1)
Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease (2022) (1)
Limits of epidemic prediction using SIR models (2021) (1)
Comment on Article by Craigmile et al. (2009) (1)
Foreword. Expanding Methodologies for Capturing Day-Specific Probabilities of Conception. (2006) (1)
Corrigendum: Models for papilloma multiplicity and regression: applications to transgenic mouse studies (2000) (1)
Outlier detection for multi-network data (2022) (1)
Landmark-Dependent Hierarchical Beta Process for Robust Sparse Factor Analysis (2011) (1)
Studying Human Fertility: Response to Slama et al. and Joffe et al. (2004) (1)
Special issue of statistical methods in medical research on reproductive studies (2006) (1)
A focus on graphical model design and applications to document and image analysis ) (2010) (1)
Identifying Interpretable Discrete Latent Structures from Discrete Data (2021) (1)
Predicting phenotypes from brain connection structure (2019) (1)
Bayesian Closed Surface Fitting Through Tensor Products (2020) (1)
Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions (2021) (1)
Bayesian nonparametric modelling of sequential discoveries (2020) (1)
Bayesian inference on dependence in multivariate longitudinal data (2012) (1)
Assessing Overall Risk in Reproductive Experiments (2000) (1)
Erratum to “Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model”: [Toxicol. Lett. 122 (2001) 33–44] (2001) (1)
Bayesian inference for Mat´ ern repulsive processes (2013) (1)
studyday specific estimates from a prospective The timing of the "fertile window" in the menstrual (2007) (1)
Bayesian Multi-Plate High-Throughput Screening of Compounds (2018) (1)
Bayesian inferences on uncertain ranks and orderings (2019) (1)
Music analysis with a Bayesian dynamic model (2009) (1)
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks (2019) (1)
Interpretable AI for relating brain structural and functional connectomes (2022) (1)
Bayesian matrix completion for hypothesis testing (2020) (1)
Adverse subpopulation regression for multivariate outcomes with high‐dimensional predictors (2011) (1)
Two-sample testing with Dirichlet mixtures (2013) (1)
Exponential-Wrapped Distributions on Symmetric Spaces (2020) (1)
1 A Bayesian Approach to Learning Low-Dimensional Signal Models from Incomplete Measurements 1 (2010) (1)
Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa (2022) (1)
3 Bayesian inference for the matrix Langevin distribution 3 . 1 The matrix Langevin distribution (2013) (0)
Inferring Synergistic and Antagonistic Interactions in Mixtures of Exposures (2022) (0)
Report of the Editors—2018 (2019) (0)
Constraint Relaxation Methodology 2 . 1 Notation and Framework (2018) (0)
Supplemental Material For: Bayesian Local Extremum Splines (2017) (0)
Bayesian Regression with Network Predictors (2015) (0)
Bayesian Nonparametric Modeling of Dynamic International Relations (2016) (0)
Nearest Neighbor Dirichlet Mixtures (2020) (0)
Nested processes based on completely random measures (2016) (0)
Structured Bayesian learning through mixture models (2013) (0)
J an 2 01 6 Bayesian Graphical Models for Multivariate Functional Data (2018) (0)
Multivariate kernel partition processes (2009) (0)
8th Workshop on Bayesian Nonparametrics (2011) (0)
Recognition of MBR Reviewers (2007) (0)
Enter title here (2013) (0)
Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization (2020) (0)
Comment (2014) (0)
Report of the Editors—2017 (2018) (0)
Vulnerable Brain Networks Associated with Risk for Alzheimer’s Disease (2022) (0)
Friends in Joy and Sorrow: Analysis of 2007-2012 Global Financial Crisis via Bayesian Nonparametric Dynamic Networks (2014) (0)
Single-parameter models (2013) (0)
Bayesian Modelling of Sequential Discoveries (2022) (0)
Modal and distributional approximations (2013) (0)
Corrigendum: Absolute winding number differentiates mouse spatial navigation strategies with genetic risk for Alzheimer's disease (2022) (0)
Reproducible Bootstrap Aggregating (2020) (0)
Fair Predictive Algorithms (2018) (0)
Bayesian Semiparametric Mixed Effects Markov Chains (2016) (0)
Introduction to multiparameter models (2013) (0)
Priors for High-Dimensional Sparse Poisson Means (2015) (0)
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) (2014) (0)
Analysis of High-Dimensional Longitudinal Genomic Data for Monitoring Viral Infection (2011) (0)
Learning from Big Epidemiology Data: A Practical Approach (2013) (0)
A Bayesian oblique factor model with extension to tensor data (2017) (0)
Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes (2021) (0)
Integrative Analysis of 1001 Diffuse Large B Cell Lymphoma Identifies Novel Oncogenic Roles for Rhoa (2017) (0)
Distributed Bayesian clustering (2020) (0)
Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation (2015) (0)
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa (2022) (0)
Inference on High-Dimensional Sparse Count Data (2015) (0)
Learning Densities Conditional on Many Interacting Features (2013) (0)
Semiparametric Bayes Joint Modeling with Functional Predictors (2007) (0)
Empirical Bayes fitting of semiparametric random effects models to large data sets (2005) (0)
Machine Learning and the Future of Bayesian Computation (2023) (0)
Report of the Editorsâ€”2017 (2018) (0)
Multiresolution Gaussian Processes Supplementary Material (2012) (0)
Modeling accounting for data collection (2013) (0)
Clustering Basal Body Temperature Curves Using Bayesian Functional Data Analysis with Contaminated Informative Priors (2007) (0)
Lognormal and Gamma Mixed Negative Binomial Regression : Supplementary Material (2012) (0)
Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model (preprint) (2022) (0)
A ug 2 01 3 Sequential Markov Chain Monte Carlo (2013) (0)
Editorial (2006) (0)
Introduction to Bayesian computation (2013) (0)
Bayesian nonparametric regression with varying residual density (2013) (0)
Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds (2011) (0)
Bayesian Mosaic: Parallelizable Composite Posterior (2018) (0)
Book Reviews (2009) (0)
J un 2 02 1 Bayesian inference on high-dimensional multivariate binary data (2021) (0)
Semiparametric Bayes Local Additive Models for Longitudinal Data (2015) (0)
Bayesian methods for highly correlated exposure data. Commentary (2007) (0)
Are Chinese people really more fertile? (2010) (0)
Supplement to “ Bayesian Consensus Clustering ” (2013) (0)
Finite mixture models (2013) (0)
Supplementary material from "How are species interactions structured in species-rich communities? A new method for analysing time-series data" (2017) (0)
Rejoinder to "Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit‐Specific Outcomes" (2005) (0)
NONPARAMETRIC BAYESIAN INFERENCE ON PLANAR SHAPES (2009) (0)
Supplement to : Extrema-weighted feature extraction for functional data (2018) (0)
ID3 Is a Novel Tumor Suppressor Gene in Burkitt Lymphom (2012) (0)
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization (2021) (0)
BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA. (2020) (0)
Batch correction of high-dimensional data (2019) (0)
Tree Representations of Brain Structural Connectivity via Persistent Homology (2022) (0)
Bayesian nonparametric modeling and theory for complex data (2012) (0)
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states (2018) (0)
Nearest Neighbor Dirichlet Process (2020) (0)
Ellipsoid fitting with the Cayley transform (2023) (0)
Hierarchical linear models (1995) (0)
Studying human fertility and environmental exposures (multiple letters) [1] (2004) (0)
Supervised Coarse-Graining of Composite Objects (2019) (0)
Proceedings of the 13th International Conference on Malignancies in AIDS and Other Acquired Immunodeficiencies (ICMAOI) (2012) (0)
Report of the Editors—2019 (2020) (0)
Bayesian Inferences on Predictors of Day-Specific Conception Probabilities (2003) (0)
The Hierarchical Local Partition Process (2009) (0)
Special issue on Bayesian computing, methods and applications (2014) (0)
A Bayesian nonparametric model for count functional data (2012) (0)
Bayesian Methods for Assessing Ordering in Hazard Functions (0)
Chemical Genomics Reveals JAK STAT Activation As a Mechanism of Resistance to HDAC Inhibitors in B Cell Lymphomas (2014) (0)
MCMC Sampling Geospatial Partitions for Linear Models (2021) (0)
Comment (2008) (0)
Bayesian Modeling of Space-Time Properties of Infectious Disease in a College Student Population (2013) (0)
Robustifying likelihoods by optimistically re-weighting data (2023) (0)
QUANTILE REGRESSION VARIABLE SELECTION 2 . 1 Augmented likelihood specification (2013) (0)
Report of the Editors—2016 (2017) (0)
PiPs: A Kernel-based Optimization Scheme for Analyzing Non-Stationary 1D Signals (2018) (0)
Data and text mining Extrema-weighted feature extraction for functional data (2018) (0)
Gaussian Process Subspace Prediction for Model Reduction (2022) (0)
Bayesian inference on high-dimensional multivariate binary responses (2021) (0)
Gaussian Process Subspace Regression for Parametric Reduced-Order Modeling (2021) (0)
Adaptive sampling for Bayesian geospatial models (2013) (0)
Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data (2023) (0)
Discussion of “ Bayesian Nonparametric Latent Feature Models ” by Zoubin Ghahramani (2006) (0)
Bayesian Watermark Attacks (2012) (0)
Using prior information to boost power in correlation structure support recovery (2021) (0)
Projected t-SNE for Batch Correction [R package bcTSNE version 0.10.0] (2020) (0)
Toward Automated Prior Choice (2017) (0)
The authors replied as follows: (2006) (0)
Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes (2022) (0)
The genetic landscape of immune-competent and HIV lymphoma (2012) (0)
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (2023) (0)
Semiparametric Bayes Local Additive Models for Longitudinal Data (2013) (0)
Estimating a Brain Network Predictive of Stress and Genotype with Supervised Autoencoders (2020) (0)
Non-parametric Bayesian Dictionary Learning with Landmark-Dependent Hierarchical Beta Process 1 (0)
Multiscale Graph Comparison via the Embedded Laplacian Discrepancy (2022) (0)
Spectral Gap Regularization of Neural Networks (2023) (0)
The Genetic Landscape Of Mantle Cell Lymphoma and The Epigenetic Origins Of Lineage Specific Mutations (2013) (0)
Flexible Bayes regression of epidemiologic data (2018) (0)
Nonparametric Bayes local borrowing of information and clustering (2008) (0)
Efficient Entropy Estimation for Stationary Time Series (2019) (0)
COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES. (2022) (0)
Tumorigenesis Epidermal Differentiation and Reduces Mouse Skin Deficiency of Either Cyclooxygenase ( COX )-1 or COX-2 Alters Updated (2002) (0)
Bayesian Methods for Highly Correlated Data: An Application to Disinfection By-Products Spontaneous Abortion (2006) (0)
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes (2022) (0)
Models for missing data (2013) (0)
TwoDay Algorithm in predicting fertile time (2002) (0)
SETD2 Functional Loss through Mutation or Genetic Deletion Promotes Expansion of Normal and Malignant γδ T Cells through Loss of Tumor Suppressor Function and Upregulation of Oncogenic Pathways (2016) (0)
Bayesian Analysis of Interval Counts with Surrogate Data on the Latency Times (0)
Domain Adaptive Bootstrap Aggregating. (2020) (0)
Locally Convex Kernel Mixtures: Bayesian Subspace Learning (2019) (0)
Submitted to the Annals of Statistics EFFICIENT ENTROPY ESTIMATION FOR STATIONARY TIME SERIES By (2019) (0)
Bayesian modeling of nearly mutually orthogonal processes (2022) (0)
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data (2022) (0)
Bayesian Clustering via Fusing of Localized Densities (2023) (0)
Bag of DAGs: Flexible Nonstationary Modeling of Spatiotemporal Dependence (2022) (0)

This paper list is powered by the following services:

Other Resources About David Dunson

en.wikipedia.org

What Schools Are Affiliated With David Dunson?

David Dunson is affiliated with the following schools:

What Are David Dunson's Academic Contributions?

David Dunson is most known for their academic work in the field of mathematics. They are also known for their academic work in the fields of

David Dunson has made the following academic contributions:

Bayesian Data Analysis