Larry A. Wasserman

Larry A. Wasserman's AcademicInfluence.com Rankings

Larry A. Wasserman

Mathematics

#2834

World Rank

#4292

Historical Rank

Statistics

#124

World Rank

#164

Historical Rank

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Mathematics

Why Is Larry A. Wasserman Influential?

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According to Wikipedia, Larry Alan Wasserman is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University. Biography Wasserman received his Ph.D. from the University of Toronto in 1988 under the supervision of Robert Tibshirani.

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Larry A. Wasserman'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

Computing Bayes Factors by Combining Simulation and Asymptotic Approximations (1997) (2059)
All of Statistics: A Concise Course in Statistical Inference (2004) (1661)
The Selection of Prior Distributions by Formal Rules (1996) (1266)
A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion (1995) (1213)
Bayesian Model Selection and Model Averaging. (2000) (856)
All of Statistics (2004) (819)
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs (2009) (659)
An overview of robust Bayesian analysis (1994) (596)
Practical Bayesian Density Estimation Using Mixtures of Normals (1997) (579)
Operating characteristics and extensions of the false discovery rate procedure (2002) (579)
HIGH DIMENSIONAL VARIABLE SELECTION. (2007) (575)
All of Nonparametric Statistics (2005) (547)
Sparse additive models (2007) (525)
Genomic control, a new approach to genetic-based association studies. (2001) (505)
Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio (1995) (503)
High Dimensional Semiparametric Gaussian Copula Graphical Models (2012) (496)
Distribution-Free Predictive Inference for Regression (2016) (432)
A stochastic process approach to false discovery control (2004) (429)
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models (2010) (420)
The huge Package for High-dimensional Undirected Graph Estimation in R (2012) (399)
A Statistical Framework for Differential Privacy (2008) (368)
The consistency of posterior distributions in nonparametric problems (1999) (368)
Rates of convergence of posterior distributions (2001) (315)
False discovery control with p-value weighting (2006) (313)
All of Nonparametric Statistics (Springer Texts in Statistics) (2006) (285)
Confidence sets for persistence diagrams (2013) (262)
Time varying undirected graphs (2008) (225)
Using linkage genome scans to improve power of association in genome scans. (2006) (217)
Topological Data Analysis (2016) (205)
Dilation for Sets of Probabilities (1993) (200)
SpAM: Sparse Additive Models (2007) (191)
Estimating Coho Salmon Rearing Habitat and Smolt Production Losses in a Large River Basin, and Implications for Habitat Restoration (1994) (181)
Distribution‐free prediction bands for non‐parametric regression (2014) (180)
False Discovery Control for Random Fields (2004) (165)
Bayes' Theorem for Choquet Capacities (1990) (161)
Robust Topological Inference: Distance To a Measure and Kernel Distance (2014) (157)
Statistical Analysis of Semi-Supervised Regression (2007) (154)
Differential privacy for functions and functional data (2012) (152)
Stochastic Convergence of Persistence Landscapes and Silhouettes (2013) (151)
Generalized density clustering (2009) (150)
Uniform consistency in causal inference (2003) (149)
On the identification of disease mutations by the analysis of haplotype similarity and goodness of fit. (2003) (144)
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions (2014) (143)
Consistency of Bernstein polynomial posteriors (2002) (143)
Treelets--An adaptive multi-scale basis for sparse unordered data (2007) (141)
Asymptotic inference for mixture models by using data‐dependent priors (2000) (139)
Distribution-Free Prediction Sets (2013) (137)
RATES OF CONVERGENCE FOR THE GAUSSIAN MIXTURE SIEVE (2000) (130)
Rodeo: Sparse, greedy nonparametric regression (2008) (128)
Controlling the False-Discovery Rate in Astrophysical Data Analysis (2001) (123)
Genome-Wide Significance Levels and Weighted Hypothesis Testing. (2009) (122)
Exceedance Control of the False Discovery Proportion (2006) (121)
Forest Density Estimation (2010) (121)
Characterization of multilocus linkage disequilibrium (2005) (120)
Bayesian analysis of outlier problems using the Gibbs sampler (1991) (120)
Minimax Manifold Estimation (2010) (119)
Nonparametric Ridge Estimation (2012) (114)
Flexible Parametric Measurement Error Models (1999) (111)
A New Source Detection Algorithm Using the False-Discovery Rate (2002) (109)
TO PROBABILITY AND MATHEMATICAL STATISTICS (2017) (107)
A Comparison of the Lasso and Marginal Regression (2012) (104)
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations (2015) (104)
Fast Algorithms and Efficient Statistics: N-Point Correlation Functions (2000) (98)
Prior Envelopes Based on Belief Functions (1990) (98)
CATS: Clustering After Transformation and Smoothing (2005) (97)
Formal rules for selecting prior distributions: A review and annotated bibliography (1993) (97)
Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs (1997) (97)
Bayesian goodness-of-fit testing using infinite-dimensional exponential families (1998) (96)
Uniform asymptotic inference and the bootstrap after model selection (2015) (94)
Subsampling Methods for Persistent Homology (2014) (94)
Improving power in genome‐wide association studies: weights tip the scale (2007) (94)
Nonparametric modal regression (2014) (92)
Manifold Estimation and Singular Deconvolution Under Hausdorff Loss (2011) (91)
Belief functions and statistical inference (1990) (91)
Least Ambiguous Set-Valued Classifiers With Bounded Error Levels (2016) (91)
Density Level Sets: Asymptotics, Inference, and Visualization (2015) (89)
Nonparametric Estimation of Renyi Divergence and Friends (2014) (88)
Robust Bayesian methods for monitoring clinical trials. (1995) (84)
Operating Characteristics and Extensions of the FDR Procedure (2001) (83)
Universal inference (2019) (81)
On the impossibility of inferring causation from association without background knowledge (1999) (80)
Distribution-Free Distribution Regression (2013) (80)
Asymptotic theory for density ridges (2014) (79)
A conformal prediction approach to explore functional data (2013) (78)
Analysis of multilocus models of association (2003) (78)
Random Differential Privacy (2011) (77)
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States (2022) (76)
Exploring Some Analytical Characteristics of Finite Mixture Models (2006) (75)
Active Learning For Identifying Function Threshold Boundaries (2005) (72)
Asymptotic Properties of Nonparametric Bayesian Procedures (1998) (70)
Bootstrapping and sample splitting for high-dimensional, assumption-lean inference (2016) (69)
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo (2007) (68)
Local sensitivity diagnostics for Bayesian inference (1995) (67)
Detecting Effects of Filaments on Galaxy Properties in the Sloan Digital Sky Survey III (2015) (66)
Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts (2000) (64)
Inferences from multinomial data: Learning about a bag of marbles - Discussion (1996) (63)
Compressed and Privacy-Sensitive Sparse Regression (2009) (62)
Union Support Recovery in Multi-task Learning (2010) (62)
Stability of density-based clustering (2010) (62)
Statistical Evaluation of Algebraic Constraints for Social Networks. (2000) (62)
Divisive Conditioning: Further Results on Dilation (1997) (61)
On the Bootstrap for Persistence Diagrams and Landscapes (2013) (60)
Classification Accuracy as a Proxy for Two Sample Testing (2016) (59)
Differential privacy with compression (2009) (58)
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation (2013) (58)
Infinitesimal sensitivity of posterior distributions (1993) (57)
Size uniformity of animal cells is actively maintained by a p38 MAPK-dependent regulation of G1-length (2017) (56)
Sparse Nonparametric Graphical Models (2012) (56)
Genomic control for association studies: a semiparametric test to detect excess-haplotype sharing. (2000) (54)
The Geometry of Nonparametric Filament Estimation (2010) (54)
Statistical Analysis of Persistence Intensity Functions (2015) (51)
Non‐parametric inference for density modes (2013) (51)
Cosmic web reconstruction through density ridges: method and algorithm (2015) (51)
Adaptive confidence bands (2007) (50)
Confidence sets for nonparametric wavelet regression (2005) (49)
Plugin Estimation of Smooth Optimal Transport Maps (2021) (49)
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review (2017) (49)
A Comprehensive Approach to Mode Clustering (2014) (46)
On the path density of a gradient field (2008) (44)
Compressed Regression (2007) (44)
Bayesian Inference with Specified Prior Marginals (1991) (43)
Bayesian and Frequentist Multiple Testing (2002) (43)
Linearization of Bayesian robustness problems (1993) (42)
Robust multivariate nonparametric tests via projection averaging (2018) (42)
Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society (2014) (42)
A Robust Bayesian Interpretation of Likelihood Regions (1989) (41)
Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching (2003) (40)
Cautious Deep Learning (2018) (40)
Minimax rates for homology inference (2011) (40)
Examining the Effect of the Map-making Algorithm on Observed Power Asymmetry in WMAP Data (2005) (39)
Cluster Trees on Manifolds (2013) (39)
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates (2017) (39)
Why isn't Everyone a Bayesian? (2008) (39)
Revisiting Marginal Regression (2009) (38)
Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing (2015) (38)
Revealing components of the galaxy population through non-parametric techniques (2008) (38)
Computing bounds on expectations (1992) (36)
Nonparametric regression and classification with joint sparsity constraints (2008) (36)
Exponential Concentration for Mutual Information Estimation with Application to Forests (2012) (36)
A Stochastic Process Approach to False Discovery Rates (2003) (35)
Cosmic web reconstruction through density ridges: catalogue (2015) (34)
Spectral Connectivity Analysis (2008) (34)
The Nonparanormal SKEPTIC (2012) (34)
Statistical inference and Monte Carlo algorithms (1996) (34)
Graph-Valued Regression (2010) (33)
Weighted Hypothesis Testing (2006) (33)
Symmetric Upper Probabilities (1992) (32)
Statistical Inference using the Morse-Smale Complex (2015) (32)
Statistical and computational tradeoffs in biclustering (2011) (31)
Statistical Inference For Persistent Homology (2013) (31)
Nonparametric Inference for the Cosmic Microwave Background (2004) (31)
Investigating galaxy-filament alignments in hydrodynamic simulations using density ridges (2015) (29)
Scan clustering: A false discovery approach (2007) (29)
Non-parametric 3D map of the intergalactic medium using the Lyman-alpha forest (2014) (29)
Minimax optimality of permutation tests (2020) (28)
Invariance Properties of Density Ratio Priors (1992) (28)
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives (2015) (27)
Density-Sensitive Semisupervised Inference (2012) (27)
SYMMETRIC, COHERENT, CHOQUET CAPACITIES (1996) (27)
Challenges in Statistical Machine Learning (2006) (27)
Statistical Inference for Cluster Trees (2016) (26)
Generalized Mode and Ridge Estimation (2014) (26)
Statistical Genetics: False discovery or missed discovery? (2003) (25)
RESULTS FROM THE 2014 NOVEMBER 15TH MULTI-CHORD STELLAR OCCULTATION BY THE TNO (229762) 2007 UK126 (2016) (24)
Rodeo: Sparse Nonparametric Regression in High Dimensions (2005) (24)
Berry-Esseen bounds for estimating undirected graphs (2014) (23)
PLLay: Efficient Topological Layer based on Persistent Landscapes (2020) (23)
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension (2018) (23)
Correlation-sharing for detection of differential gene expression (2006) (22)
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field (1999) (22)
A Nonparametric Analysis of the Cosmic Microwave Background Power Spectrum (2002) (22)
The dilation phenomenon in robust Bayesian inference (1994) (21)
AN UNBIASED METHOD OF MODELING THE LOCAL PECULIAR VELOCITY FIELD WITH TYPE Ia SUPERNOVAE (2011) (21)
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk (2001) (20)
Noninformative priors and nuisance parameters (1993) (20)
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures (2014) (20)
Prior distributions for the bivariate binomial (1990) (19)
Minimax Rates for Estimating the Dimension of a Manifold (2016) (19)
On Clinical Pathway Discovery from Electronic Health Record Data (2015) (18)
Homotopy Reconstruction via the Cech Complex and the Vietoris-Rips Complex (2019) (18)
Minimax optimal conditional independence testing (2020) (18)
Model selection and model averaging for neural networks (1998) (18)
The conflict between improper priors and robustness (1996) (18)
Distribution Free Prediction Bands (2012) (17)
Density based classes of priors: Infinitesimal properties and approximations (1995) (16)
Minimax confidence intervals for the Sliced Wasserstein distance (2019) (16)
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations (2014) (16)
Semiparametric Counterfactual Density Estimation (2021) (16)
Comments on shafer's "perspectives on the theory and practice of belief functions" (1992) (16)
Rejoinder of: Treelets—An adaptive multi-scale basis for spare unordered data (2008) (15)
Binary Star Observations with the Hubble Space Telescope Fine Guidance Sensors. I. ADS 11300 (1991) (15)
False discovery or missed discovery? (2003) (15)
Fast Algorithms and Efficient Statistics: Density Estimation in Large Astronomical Datasets (2000) (15)
Hierarchical Bayesian Analysis of Arrest Rates (1998) (15)
Frequentist Bayes is objective (comment on articles by Berger and by Goldstein) (2006) (15)
Optimal Ridge Detection using Coverage Risk (2015) (15)
Frasian Inference (2012) (15)
Interactive martingale tests for the global null (2019) (14)
Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests (2021) (14)
Estimating Undirected Graphs Under Weak Assumptions (2013) (14)
Exponential Language Models, Logistic Regression, and Semantic Coherence (2000) (14)
Robust Multivariate Nonparametric Tests via Projection-Pursuit (2018) (14)
Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays. (2004) (14)
Hybrid Wasserstein distance and fast distribution clustering (2018) (14)
The Extent of Dilation of Sets of Probabilities and the Asymptotics of Robust Bayesian Inference (1994) (13)
A practical, robust method for Bayesian model selection: a case study in the analysis of clinical trials (1996) (13)
Inference for the dark energy equation of state using Type IA supernova data (2008) (13)
Efficient Nonparametric Conformal Prediction Regions (2011) (13)
Distribution-Free Prediction Sets with Random Effects (2018) (12)
Risk Bounds For Mode Clustering (2015) (12)
A variable-rate filtering system for digital communications (1999) (12)
Feature Selection For High-Dimensional Clustering (2014) (12)
COST ANALYSIS OF MBR SYSTEMS FOR WATER RECLAMATION (2004) (12)
Low Assumptions, High Dimensions (2011) (12)
False Discovery Rates for Random Fields (2003) (12)
Efficient Topological Layer based on Persistent Landscapes (2020) (11)
STRUCTURED, SPARSE REGRESSION WITH APPLICATION TO HIV DRUG RESISTANCE. (2010) (11)
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney Disease (2014) (11)
Trend filtering – I. A modern statistical tool for time-domain astronomy and astronomical spectroscopy (2019) (11)
Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy (2004) (10)
Interactive Feature Induction and Logistic Regression for Whole Sentence Exponential Language (1999) (9)
Minimax rates for heterogeneous causal effect estimation (2022) (9)
On Estimating L22 Divergence (2015) (9)
Spike Hunting in Galaxy Spectra (2005) (9)
Statistical analysis of metric graph reconstruction (2013) (9)
Discussion of “On Bayesian estimation of marginal structural models” (2015) (9)
Uncertainty Measures and Limiting Distributions for Filament Estimation (2013) (8)
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives (2014) (8)
Some aspects of the reparametrization of statistical models (1994) (8)
Nonparametric Learning in High Dimensions (2010) (8)
Bayesian Frequentist Multiple Testing (2002) (8)
Gaussian Universal Likelihood Ratio Testing (2021) (8)
Mapping the Cosmological Confidence Ball Surface (2007) (7)
Tree Density Estimation (2010) (7)
An Analysis of Active Learning with Uniform Feature Noise (2014) (7)
Distribution-Free Prediction Sets for Two-Layer Hierarchical Models (2018) (7)
Minimaxity, Statistical Thinking and Differential Privacy (2012) (7)
Familywise Error Rate Control by Interactive Unmasking (2020) (7)
On Estimating $L_2^2$ Divergence (2014) (7)
Enhanced Mode Clustering (2014) (6)
Tight Lower Bounds for Homology Inference (2013) (6)
Finding Singular Features (2016) (6)
CATS (2005) (6)
Multi-Stage Variable Selection: Screen and Clean (2007) (6)
Linear and Logistic Regression (2004) (6)
Comments on: "Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems" by M. Evans and T. SwartzCommentCommentCommentRejoinder (1996) (6)
Discussion: “A significance test for the lasso” (2014) (6)
Non-Parametric Inference in Astrophysics (2001) (6)
Local permutation tests for conditional independence (2021) (6)
INTEGRITY AND PERFORMANCE EVALUATION OF NEW GENERATION DESALTING MEMBRANES DURING MUNICIPAL WASTEWATER RECLAMATION (2005) (6)
Yakima River Spring Chinook Enhancement Study, Fisheries Resource Management, Yakima Indian Nation1983 Annual Report. (1984) (6)
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions (2014) (6)
Conditional Density Estimation using Finite Mixture Models with an Application to Astrophysics (2005) (6)
Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources (2001) (6)
Data fission: splitting a single data point (2021) (6)
Models, Statistical Inference and Learning (2004) (5)
Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions (2014) (5)
Nonparametric Filament Estimation (2010) (5)
A Large-sample Approach to Controlling False Discovery Rates (5)
The HulC: Confidence Regions from Convex Hulls (2021) (5)
Functional Regression for Quasar Spectra (2014) (5)
Decorrelated Variable Importance (2021) (5)
Bayesian model selection: analysis of a survival model with a surviving fraction (2001) (5)
Comment on article by Gelman (2008) (5)
Estimating the Error Distribution of a Single Tap Sequence without Ground Truth (2009) (5)
Interactive rank testing by betting (2020) (5)
Minimax lower bounds for linear independence testing (2016) (5)
Nonparametric Regression Statistical Machine Learning , Spring 2019 (2015) (5)
Identifying genes altered by a drug in temporal microarray data : A case study (2003) (4)
Trend filtering – II. Denoising astronomical signals with varying degrees of smoothness (2020) (4)
Analysis of a mode clustering diagram (2018) (4)
Information tradeoff (1995) (4)
Predictive clustering. (2019) (4)
Gaussian Mixture Clustering Using Relative Tests of Fit. (2019) (4)
Sensitivity Analysis for Marginal Structural Models (2022) (4)
Convergence of Random Variables (2004) (4)
Causal Inference Without Counterfactuals: Comment (2000) (4)
Hypothesis Testing and p-values (2004) (4)
Evidence of cross-hybridization artifact in expressed sequence tags (ESTs) on cDNA microarrays ⁄ (2002) (4)
A Non-parametric Analysis of the CMB Power Spectrum (2001) (4)
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity (2021) (4)
Stein ’ s Method and The Bootstrap in Low and High Dimensions : A Tutorial (2014) (4)
Universal Inference Using the Split Likelihood Ratio Test (2019) (3)
On Bayesian estimation of marginal structural models 1 (2014) (3)
VOStat: A Distributed Statistical Toolkit for the Virtual Observatory (2005) (3)
A Statistical View on the Expressive Timing of Piano Rolled Chords (2015) (3)
Comment: Statistical Inference from a Predictive Perspective (2019) (3)
Results from the 2009 April 21 Pluto Occultation (2009) (3)
Evaluation of Newly Developed Membrane Bioreactors for Wastewater Reclamation (2006) (3)
Interactive identification of individuals with positive treatment effect while controlling false discoveries (2021) (3)
The Role of Assumptions in Machine Learning and Statistics: Don't Drink the Koolaid! (2015) (3)
The United States COVID-19 Forecast Hub dataset (2022) (3)
Robustness of birth-death and gain models for inferring evolutionary events (2014) (3)
Introduction to the Skagit Issue—From Glaciers to Estuary: Assessing Climate Change Impacts on the Skagit River Basin (2016) (3)
The nearby M-dwarf system Gliese 866 revisited (1999) (3)
Optical Interferometric Observations of Theta1 Orionis C from NPOI and Implications for the System Orbit (Preprint) (2007) (3)
Inference About Independence (2004) (3)
Nonparametric inference in astrophysics (2001) (3)
Structured sparsity (2012) (3)
On Estimating L 22 Divergence (2014) (3)
Causal Inference in the Time of Covid-19 (2021) (2)
Rise of the Machines (2013) (2)
Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension (2020) (2)
Comments on: Nonparametric inference with generalized likelihood ratio tests (2007) (2)
Investigating the Cosmic Web with Topological Data Analysis (2018) (2)
PERFORMANCE ASSESSMENT OF NEW MEMBRANE BIOREACTOR SYSTEMS AT AVERAGE AND PEAK FLOW OPERATION (2007) (2)
Automated Classification Techniques for Large Spectroscopic Surveys (2001) (2)
Discussion of: Statistical analysis of an archeological find (2008) (2)
Low-Noise Density Clustering (2009) (2)
Astrometry with the HST Planetary Camera (1995) (2)
Stein ’ s Unbiased Risk Estimate Statistical Machine Learning , Spring 2015 (2015) (2)
SDSS-RASS: Next generation of cluster - Finding algorithms (2000) (2)
Estimating the CDF and Statistical Functionals (2004) (2)
Introduction to the Special Section on Astrostatistics (2004) (2)
Estimating Galaxy Spectral Functions Using Sparse Composite Models (2007) (2)
Nonparametric Confidence Sets for Density (2004) (2)
Bayesian Approaches to Randomized Trails - Discusion (1994) (2)
Estimating the distribution of Galaxy Morphologies on a continuous space (2014) (2)
Nonparametric Regression and Classification Statistical Machine Learning , Spring 2018 (2017) (1)
Homotopy Reconstruction via the Cech Complex and the Rips Complex (2019) (1)
Causal Inference with Orthogonalized Regression: Taming the Phantom (2022) (1)
Massive Science with VO and Grids (2005) (1)
Causal Inference with Orthogonalized Regression Adjustment: Taming the Phantom (2022) (1)
Discussion of “On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning” (2020) (1)
Nonparametric Curve Estimation (2004) (1)
Introducing the Conference (2021) (1)
Random Dierential Privacy (2012) (1)
The Limits of Causal Knowledge (1999) (1)
Computational AstroStatistics: Fast Algorithms and Efficient Statistics for Density Estimation in Large Astronomical Datasets (2000) (1)
The Composition of a Composition: Just the Facts (1993) (1)
Which Wilcoxon should we use? An interactive rank test and other alternatives (2020) (1)
Evidence of systematic Expressed Sequence Tag ( EST ) I . M . A . G . E . clone cross-hybridization on cDNA microarrays (2003) (1)
Nerve Theorem on a Positive Reach set (2019) (1)
Permutation Invariant Upper and Lower Probabilities (1994) (1)
Entropy When Probabilities Are Imprecise (1996) (1)
Stephen Fienberg: Superman of statistics (2017) (1)
Forest Guided Smoothing (2021) (1)
Estimation of Correlations in Large Samples (2001) (1)
Log-Linear Models (2004) (1)
INTEGRATED MEMBRANE SYSTEMS FOR WASTEWATER REUSE (2004) (1)
Double filtered for freshness (2005) (0)
Statistical computations with AstroGrid and the Grid (2005) (0)
POWER PREDICTION in LARGE SCALE MULTIPLE (2010) (0)
2 Best subset selection , ridge regression , and the lasso 2 . 1 Three norms (2018) (0)
NONPARAMETRIC CONFIDENCE SETS FOR DENSITIES Running Head : Nonparametric Confidence Sets (2015) (0)
Submitted to the Annals of Statistics ROBUST MULTIVARIATE NONPARAMETRIC TESTS VIA PROJECTION-AVERAGING By (2019) (0)
DFG-SNF Research Group FOR916 Statistical Regularization and Qualitative Constraints (2009) (0)
10-705 : Intermediate Statistics Fall 2012 Homework 4 Solutions Lecturer : Larry Wasserman TA : Wanjie Wang , Haijie Gu Problem (2012) (0)
Will your disability policy really pay off? (1974) (0)
Statistical Methodology and Theory for Functional and Topological Data (2020) (0)
S T ] 7 A pr 2 00 6 Weighted Hypothesis Testing (2006) (0)
Statistical Decision Theory (2004) (0)
Robustness of birth-death and gain models for inferring evolutionary events (2014) (0)
Sparse additive models Series B Statistical methodology (2009) (0)
A conformal prediction approach to explore functional data (2013) (0)
THE LOG LESS TRAVELLED : HOW DIFFERENT TEMPORAL CONDITIONS AFFECT THE ROUTE SELECTION OF WOODLAND DEER MICE , PEROMYSCUS MANICULATUS GRACILIS (2021) (0)
data mining and exploration (2017) (0)
Nonparametric Regression 10 / 36-702 (2016) (0)
Corpus THAT ’ S YOUR NEWS ON THE DAY BEFORE CHRISTMAS THIRTY FIVE PAST THE HOUR < / s > (1999) (0)
Supplement to “Familywise Error Rate Control by Interactive Unmasking” (2020) (0)
Censoring, conditionally, and likelihood (1986) (0)
Flexible Parametric Measurement Error Models Short Title. Flexible Models (1997) (0)
Proposal Generalization Error Bounds for State Space Models with an Application to Economic Forecasting Version : July 14 , 2010 (2010) (0)
Interactive Martingale Tests for the Global Null Boyan (2019) (0)
Analysis of Microarray Data for Treated Fat Cells (2003) (0)
A pr 2 00 7 Multi-Stage Variable Selection : Screen and Clean (2007) (0)
Shuheng Zhou Annotated Bibliography High-dimensional Statistical Inference (2008) (0)
VOStat: Arming Astronomers with Advanced Statistics (2004) (0)
Probability Redux: Stochastic Processes (2004) (0)
Comment on Article by Robert (2010) (0)
Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May 22-25, 1995, Rimini, Italy (Vol. 29, Institute of Mathematical Sciences Lecture Notes-Monograph Series) (1999) (0)
O ct 2 00 4 Nonparametric Inference for the Cosmic Microwave Background (2008) (0)
Directed Graphs and Conditional Independence (2004) (0)
15.1 Commentary (2019) (0)
Heejong Bong, Valerie Ventura and Larry Wasserman’s contribution to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’ (2023) (0)
Causal inference for the effect of mobility on COVID-19 deaths (2022) (0)
Sparsity and the Lasso Statistical Machine Learning , Spring 2015 (2015) (0)
POWER PREDICTION in LARGE SCALE MULTIPLE TESTING : A FOURIER APPROACH A DISSERTATION SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENTS for the degree DOCTOR OF PHILOSOPHY In STATISTICS (2010) (0)
A Note on Profile Likelihood, Least Favourable Families and Kullback-Leibler Distance. (1988) (0)
TESTING FOR HIGH-DIMENSIONAL MULTINOMIALS : A SELECTIVE REVIEW By Sivaraman Balakrishnan and Larry Wasserman (2018) (0)
35A Robust bayesian analysis of clinical trials (1994) (0)
2-2009 Sparse Additive Models (2015) (0)
- 12-2002 Bayesian Frequentist Multiple Testing (2015) (0)
Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport (2022) (0)
Statistical Inference for a Computational Model of Cognition (1998) (0)
A Discussion of “A Note on Universal Inference” by Tse and Davison (2023) (0)
Comment (2012) (0)
Statistical Machine Learning for Structured and High Dimensional Data (2014) (0)
Finding SDSS Galaxy Clusters in 4-dimensional Color Space Using the False Discovery Rate (2000) (0)
What Does a Three-Sigma Detection Really Mean? (2001) (0)
THE CONSISTENCY OF POSTERIORDISTRIBUTIONS IN NONPARAMETRICPROBLEMSBy (1996) (0)
Book reviews, Spring 2013 . Special issue on George Casella's books (2012) (0)
ON THE IMPACT OF NEW TECHNOLOGIES ON FIRM-CONSUMER RELATIONSHIPS by FRANCISCO ORLANDO CISTERNAS (2017) (0)
The Intersection of Statistics and Topology (2014) (0)
Skagit Climate Science Consortium: Using Local Polling to Provide Relevant Science (2016) (0)
EVALUATION AND OPTIMIZATION OF MEMBRANE BIOREACTORS FOR WATER RECLAMATION (2004) (0)
BAYES' THEOREMFOR CHOQUETCAPACITIES (1990) (0)
Feature Importance: A Closer Look at Shapley Values and LOCO (2023) (0)
Statistical Inference for Topological Data Analysis (2014) (0)
Berry-Esseen bounds for estimating undirected graphsT1 (2014) (0)
No Free Lunch (1991) (0)
Yakima River Spring Chinook Enhancement Study, 1984 Annual Report. (1985) (0)
However , our approach is purely nonparametric – no Gaussian assumption , free from number of mixture components . Fast to compute – no need to use EM algorithm (2014) (0)
Sparsity , the Lasso , and Friends Statistical Machine Learning , Spring 2017 (2017) (0)
Median Regularity and Honest Inference (2022) (0)
Exponential Language Models , Logistic Regression , and (2000) (0)
VOStat: The R Statistics Package for Astronomical Data Analysis (2004) (0)
Comment (2000) (0)
Smoothing Using Orthogonal Functions (2004) (0)
Proposal Generalization Error Bounds for State Space Models with an Application to Economic Forecasting Version : June 29 , 2010 Committee : (2010) (0)
Adaptive Semisupervised Inference (2011) (0)
Topological Hypothesis Tests for Large-Scale Structure (2016) (0)

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