Bani K. Mallick

Q: What Schools Are Affiliated With Bani K. Mallick

Bani K. Mallick is affiliated with the following schools: University of Calcutta, Texas A&M University, University of Connecticut

Bani K. Mallick's AcademicInfluence.com Rankings

Bani K. Mallick

Mathematics

#6900

World Rank

#9473

Historical Rank

Statistics

#711

World Rank

#798

Historical Rank

mathematics Degrees

Download Badge

Mathematics

Bani K. Mallick's Degrees

PhD Statistics University of Connecticut
Masters Statistics University of Connecticut
Bachelors Statistics University of Calcutta

Why Is Bani K. Mallick Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Bani K. Mallick is a Distinguished Professor and Susan M. Arseven `75 Chair in Data Science and Computational Statistics in the Department of Statistics at Texas A&M University in College Station. He is the Director of the Center for Statistical Bioinformatics. Mallick is well known for his contribution to the theory and practice of Bayesian semiparametric methods and uncertainty quantification. Mallick is an elected fellow of American Association for the Advancement of Science, American Statistical Association, Institute of Mathematical Statistics, International Statistical Institute and the Royal Statistical Society. He received the Distinguished research award from Texas A&M University and the Young Researcher award from the International Indian Statistical Association.

(See a Problem?)

Bani K. Mallick'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

Automatic Bayesian curve fitting (1998) (447)
VARIABLE SELECTION FOR REGRESSION MODELS (2016) (392)
Gene selection: a Bayesian variable selection approach (2003) (387)
A Bayesian CART algorithm (1998) (345)
Model-based geostatistics. Discussion. Authors' reply (1998) (277)
Model-based geostatistics. Discussion. Authors' reply (1998) (277)
Generalized Linear Models : A Bayesian Perspective (2000) (246)
Nonlinear estimation and classification (2003) (232)
ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH (2003) (223)
Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes (2005) (207)
Large-Scale Inverse Problems and Quantification of Uncertainty (1994) (205)
Model-based geostatistics - Discussion (1998) (205)
Gene selection using a two-level hierarchical Bayesian model (2004) (187)
Bayesian Methods for Nonlinear Classification and Regressing (2002) (167)
Bayesian multivariate spatial models for roadway traffic crash mapping (2006) (164)
Functional clustering by Bayesian wavelet methods (2006) (154)
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression. (2015) (149)
A Bayesian Semiparametric Accelerated Failure Time Model (1999) (142)
Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing (1997) (136)
Parameter Estimation of Partial Differential Equation Models (2013) (127)
Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection (2013) (126)
Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis (2008) (122)
Bayesian semiparametric inference for the accelerated failure‐time model (1997) (118)
Bayesian Radial Basis Functions of Variable Dimension (1998) (108)
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm (2019) (89)
Bayesian MARS (1998) (88)
Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis (2013) (88)
Bayesian analysis of proportional hazards models built from monotone functions. (1995) (87)
A Bayesian prediction using the skew Gaussian distribution (2004) (84)
Generalized linear models with unknown link functions (1994) (84)
Bayesian classification of tumours by using gene expression data (2005) (84)
Semiparametric Regression Modeling with Mixtures of Berkson and Classical Error, with Application to Fallout from the Nevada Test Site (2002) (82)
Spatially Adaptive Bayesian Penalized Regression Splines (P-splines) (2005) (73)
Bayesian regression with multivariate linear splines (2001) (71)
Bayesian Models for Sparse Regression Analysis of High Dimensional Data (2012) (62)
Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods (2010) (54)
Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines (2003) (54)
A hierarchical Bayesian spatio‐temporal model for extreme precipitation events (2011) (51)
Bayesian wavelet networks for nonparametric regression (2000) (51)
Modeling Expert Opinion Arising as a Partial Probabilistic Specification (1995) (49)
Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations (2014) (46)
Automatic Bayesian curve ® tting (1998) (45)
Radiative effects in radiative shocks in shock tubes (2011) (44)
A generalized linear mixed model for longitudinal binary data with a marginal logit link function. (2011) (43)
Bayesian Curve Classification Using Wavelets (2007) (41)
Moments of random vectors with skew t distribution and their quadratic forms (2003) (40)
Semiparametric errors-in-variables models A Bayesian approach (1996) (40)
A multistage, semi-automated procedure for analyzing the morphology of nanoparticles (2012) (38)
Combining information from several experiments with nonparametric priors (1997) (38)
Bayesian hierarchical model for combining misaligned two-resolution metrology data (2011) (37)
A Bayesian semiparametric transformation model incorporating frailties (2003) (35)
Longitudinal Studies With Outcome-Dependent Follow-up (2007) (34)
Multilevel Dirichlet process mixture analysis of railway grade crossing crash data (2016) (34)
Bayesian hierarchical structured variable selection methods with application to molecular inversion probe studies in breast cancer (2014) (33)
How many samples are needed to build a classifier: a general sequential approach (2005) (33)
Accounting for Model Uncertainty in Seemingly Unrelated Regressions (2002) (30)
Bayesian nonlinear regression for large p small n problems (2012) (28)
Bayesian classification of tumors using gene expression data (2004) (27)
Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure (2005) (26)
BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA. (2014) (26)
Bayesian Survival Analysis Using A Mars Model (1999) (26)
Prediction of protein interdomain linker regions by a hidden Markov model (2005) (25)
Semiparametric Bayesian Analysis of Nutritional Epidemiology Data in the Presence of Measurement Error (2010) (24)
Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors (2014) (24)
Absent data generating classifier for imbalanced class sizes (2015) (23)
Predictive modeling of a radiative shock system (2011) (23)
Estimation of spectral density of a stationary time series via an asymptotic representation of the periodogram (1999) (23)
A physics informed emulator for laser-driven radiating shock simulations (2011) (23)
Bayesian Prediction via Partitioning (2005) (20)
Bayesian Semiparametric Multivariate Density Deconvolution (2014) (20)
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables (2021) (19)
Spline-Based Emulators for Radiative Shock Experiments With Measurement Error (2013) (18)
Bayesian curve estimation by polynomial of random order (1998) (18)
Bayesian methods for variable selection in survival models with application to DNA microarray data (2004) (18)
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection. (2016) (17)
Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays (2010) (17)
A note on the scale parameter of the dirichlet process (1997) (17)
A Bayesian transformation model for wavelet shrinkage (2003) (17)
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model (2014) (17)
Bayesian Nonparametric Regression Analysis of Data with Random Effects Covariates from Longitudinal Measurements (2011) (17)
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULL (2007) (16)
Modified Markov Chain Monte Carlo Method for Dynamic Data Integration Using Streamline Approach (2008) (14)
A Powerful Bayesian Test for Equality of Means in High Dimensions (2018) (14)
A variational Bayesian approach for inverse problems with skew-t error distributions (2015) (14)
A Bayesian approach to the detection of small low emission sources (2011) (13)
Inferring gene networks from discrete expression data. (2013) (13)
Bayesian and variational Bayesian approaches for flows in heterogeneous random media (2016) (13)
Bayesian Analysis of Gene Expression Data (2009) (13)
Multiscale data integration using coarse-scale models☆ (2005) (13)
Two-Stage Metropolis-Hastings for Tall Data (2014) (12)
Gene Expression-Based Glioma Classification Using Hierarchical Bayesian Vector Machines (2007) (12)
Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection (2010) (12)
BAYESIAN OBJECT CLASSIFICATION OF GOLD NANOPARTICLES (2013) (12)
A note on Bayesian spatial prediction using the elliptical distribution (2003) (12)
The Method of Manufactured Universes for validating uncertainty quantification methods (2011) (12)
Systemic anti-inflammatory therapy aided by double-headed nanoparticles in a canine model of acute intraocular inflammation (2020) (11)
Nanoparticle shape evolution identified through multivariate statistics. (2010) (11)
Mixtures of skewed Kalman filters (2014) (11)
Bayesian model order determination and basis selectionfor seemingly unrelated regressionsC (1999) (11)
Bayesian sparse graphical models and their mixtures (2014) (10)
Bayesian Methods for DNA Microarray Data Analysis (2005) (10)
Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter (2013) (10)
Bayesian Estimation of Correlation Matrices of Longitudinal Data (2020) (10)
Bayesian variable selection with graphical structure learning: Applications in integrative genomics (2018) (10)
Propagation of a natural arsenic plume in West Bengal, India (2003) (10)
Bayesian optimization with adaptive surrogate models for automated experimental design (2021) (10)
Analyzing Spatial Data Using Skew-Gaussian Processes (2002) (10)
Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data (2019) (10)
Bayesian Big Data Classification: A Review with Complements (2014) (10)
Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors (2014) (10)
Wind speed prediction in a complex terrain (2001) (10)
Semiparametric generalized linear models: Bayesian approaches (1999) (9)
Emulation of Numerical Models With Over-Specified Basis Functions (2017) (9)
Efficient Bayesian Regularization for Graphical Model Selection. (2019) (9)
Semiparametric Bayesian analysis of gene-environment interactions with error in measurement of environmental covariates and missing genetic data. (2011) (9)
PCAN: Probabilistic correlation analysis of two non‐normal data sets (2016) (8)
Broken Biological Size Relationships: A Truncated Semiparametric Regression Approach with Measurement Error (1997) (7)
A Bayesian Curve Fitting Approach to Power Spectrum Estimation (2002) (7)
Bayesian structural equation modeling in multiple omics data with application to circadian genes (2020) (7)
Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds (2019) (7)
Spatial Prediction of Rainfall Using Skew-Normal Processes (2004) (7)
Bayes Regularized Graphical Model Estimation in High Dimensions (2013) (7)
Bayesian graph selection consistency under model misspecification. (2019) (7)
A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes. (2017) (7)
Bayesian Low Rank and Sparse Covariance Matrix Decomposition (2013) (6)
Bayesian Analysis of Semiparametric Proportional Hazards Models (1994) (6)
A Bayesian Prediction using the Elliptical and the Skew Gaussian Processes (2007) (6)
Filtering remotely sensed chlorophyll concentrations in the Red Sea using a space–time covariance model and a Kalman filter (2015) (6)
Bayesian Radial Basis Functions of Unknown Dimension (1997) (5)
Adaptive Posterior Convergence Rates in Bayesian Density Deconvolution with Supersmooth Errors (2013) (5)
Bayesian modeling in bioinformatics (2010) (5)
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology (2019) (5)
History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods (2010) (5)
Bayesian Graphical Models (2009) (5)
Bayesian sparse covariance decomposition with a graphical structure (2016) (4)
Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer. (2014) (4)
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain (2021) (4)
Analysing Financial Data using Polya trees (1998) (3)
Real-Time Gene Expression: Statistical Challenges in Design and Inference (2008) (3)
Bayesian wavelet shrinkage in transformation based normal models (2002) (3)
Bayesian Partition Models for Subsurface Characterization (2010) (3)
Integration of survival and binary data for variable selection and prediction: a Bayesian approach (2019) (3)
Continuous shrinkage prior revisited: a collapsing behavior and remedy (2020) (3)
Quantile Graphical Models: a Bayesian Approach (2020) (3)
Perfect Simulation for orthogonal model mixing (1998) (3)
Bayesian model-based approaches with mcmc computation to some bioinformatics problems (2005) (3)
Prediction of Protein Interdomain Linker Regions by a Nonstationary Hidden Markov Model (2008) (3)
Bayesian Hierarchical Modeling: Application Towards Production Results in the Eagle Ford Shale of South Texas (2021) (3)
Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer–Related Mortality (2019) (3)
Comment on article by Polson and Scott (2011) (2)
Spatially adaptive Bayesian penalized regression splines (P-splines) (Journal of Computational and Graphical Statistics (2005) 14, 378-394) (2008) (2)
Prediction of Protein Inter-domain Linker Regions by a Hidden Markov Model (2005) (2)
Dietary Intakes of Amino Acids and Other Nutrients by Adult Humans. (2021) (2)
Corrigendum to: "Moments of random vectors with skew t distribution and their quadratic forms" [Statist. Probab. Lett. 63 (2003) 417-423] (2009) (2)
Bayesian sparse graphical models and their mixtures using lasso selection priors (2013) (2)
Bayesian Approaches to Phylogenetic Analysis (2010) (2)
Probabilistic Hosting Capacity Analysis via Bayesian Optimization (2020) (2)
Bayesian Inference for Gene Expression and Proteomics: Modeling Nonlinear Gene Interactions Using Bayesian MARS (2006) (2)
Bayesian CART Model Search: Comment (1998) (2)
Tail-adaptive Bayesian shrinkage (2021) (2)
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression (2022) (1)
Space-time modelling without distanceD (1998) (1)
Bayesian hierarchical kernel machines for nonlinear regression and classification (2013) (1)
Investigating New Product Diffusion Speed: A Semiparametric Approach (2011) (1)
Bayesian Robust Inference for Differential Gene Expression (2010) (1)
Learning Bayesian Networks for Gene Expression Data (2010) (1)
Structured Optimal Variational Inference for Dynamic Latent Space Models (2022) (1)
Hierarchical Bayesian models for predicting spatially correlated curves (2018) (1)
Ordinal causal discovery (2022) (1)
Bayesian Functional Mixed Models for Survival Responses with Application to Prostate Cancer (2015) (1)
Statistical Inference for Clustering Microarrays (2003) (1)
Investigating international new product diffusion speed: A semiparametric approach (2012) (1)
Bayesian Classification Method for QTL Mapping (2010) (1)
Multiscale data integration using coarse-scale models q (2005) (1)
Classiication Trees (1998) (1)
Bayesian Graph Selection Consistency For Decomposable Graphs (2019) (1)
A Bayesian Mixture Model for Protein Biomarker Discovery (2010) (1)
Bioinformatics and Gene Expression Experiments (2009) (1)
Bayesian Hierarchical Model for Integrating Multi-resolution Metrology Data∗ (2007) (1)
Bayesian Hidden Markov Modeling of Array CGH Data (2010) (1)
Quantifying Uncertainties in Modeling of Radiative Shocks Using Coupling of HYADES and CRASH (2010) (1)
Nonparametric Bayesian Approaches to Non-homogeneous Hidden Markov Models (2012) (1)
Bayesian Variable Selection with Structure Learning: Applications in Integrative Genomics (2015) (1)
An adaptive spatial model for precipitation data from multiple satellites over large regions (2015) (1)
Evaluation of Standards for Compost Blankets in Stormwater Control (2006) (1)
Estimation and Testing in Time-Course Microarray Experiments (2010) (1)
Comment on Article by Chkrebtii, Campbell, Calderhead, and Girolami (2016) (1)
A Bayesian method for identifying independent sources of non-random spatial patterns (2005) (1)
In-Vitro to In-Vivo Factor Profiling in Expression Genomics (2010) (1)
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction (2023) (0)
Bayes and Empirical Bayes Methods for Spotted Microarray Data Analysis (2010) (0)
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling (2023) (0)
Modeling Expert Opinion: Likelihoods under Incomplete Probabilistic Specification (1992) (0)
A Bayesian Survival Tree Partition Model Using Latent Gaussian Processes (2022) (0)
Bayesian sparse covariance decomposition with a graphical structure (2014) (0)
Bayesian Hypothesis Inference for Gene Classes (2009) (0)
RESTRICTED MOST POWERFUL BAYESIAN TESTS A Dissertation by SCOTT DAVID GODDARD Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY (2015) (0)
Analysis of Radiative Shock Experiments and Simulations Using Uncertainty Quantification Techniques (2009) (0)
Bayesian Classification for Microarray Data (2009) (0)
Quantile Graphical Models: Bayesian Approaches. (2016) (0)
Why do we observe misclassification errors smaller than the Bayes error? (2009) (0)
Bayesian Multiple Testing and False Discovery Rate Analysis (2009) (0)
An adaptive spatial model for precipitation data from multiple satellites over large regions (2013) (0)
Measurement Error and Survival Model for cDNA Microarrays (2010) (0)
Master Project : Statistical Method on A Basic Tomography Problem (2009) (0)
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching (2021) (0)
Bayesian Linear Models for Gene Expression (2009) (0)
Appendix B: Bayesian Computation Tools (2009) (0)
Bayesian partitioning for classi cation and regressionC (1999) (0)
Two-Stage Metropolis-Hastings for Tall Data (2018) (0)
Testing Gene Class Enrichment in High-throughput Genomics (2005) (0)
Bayesian spatial modeling of complex and high dimensional data (2011) (0)
Classification for Differential Gene Expression Using Bayesian Hierarchical Models (2010) (0)
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures (2020) (0)
Calibrating the Rigged Lottery: Making All Tickets Reliable (2023) (0)
Factorized Fusion Shrinkage for Dynamic Relational Data (2022) (0)
Unsupervised Classification and Bayesian Clustering (2009) (0)
Gene Selection for the Identification of Biomarkers in High-Throughput Data (2010) (0)
Bayesian Uncertainty Quantification in Predictions of Flows in Highly Heterogeneous Media and Its Applications to the CO2 Sequestration (2015) (0)
Scalable Multilevel Uncertainty Quantification Concepts for Extreme-Scale Multiscale Problems (2018) (0)
Web-based Supplementary Materials for Bayesian Nonparametric Regression Analysis of Data with Random Effects Covariates from Longitudinal Measurements by (2010) (0)
Appendix A: Basics of Bayesian Modeling (2009) (0)
Bayesian Methods for Detecting Differentially Expressed Genes (2010) (0)
Directionally dependent multi-view clustering using copula model (2020) (0)
Gene Expression Data: Basic Biology and Experiments (2009) (0)
Applications of MOSS for Discrete Multi-Way Data (2010) (0)
Sparsity Priors for Protein‚ÄìProtein Interaction Predictions (2010) (0)
Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems (2021) (0)
Nonparametric Bayesian Bioinformatics (2010) (0)
Bayesian piecewise linear regression usingmultivariate linear splinesC (2007) (0)
Graphical Dirichlet Process (2023) (0)
THE ROLE OF GRAIN SORGHUM IN CONSERVATION OF PREDATORY ARTHROPODS OF TEXAS COTTON A Dissertation by JARRAD REED PRASIFKA (2003) (0)
A Flexible Modeling Approach Using Dirichlet Process Mixtures: Application to Multi-Level Railway Grade Crossing Crash Data (2016) (0)
Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq Data. (2021) (0)
Adaptive Bayesian variable clustering via structural learning of breast cancer data (2022) (0)

This paper list is powered by the following services:

Other Resources About Bani K. Mallick

en.wikipedia.org

What Schools Are Affiliated With Bani K. Mallick?

Bani K. Mallick is affiliated with the following schools:

Bani K. Mallick's Academic­Influence.com Rankings