Dipak K. Dey

发表

Bayesian models for the analysis of genetic structure when populations are correlated

Rongwei Fu, Dipak K. Dey, Kent E. Holsinger, 2005, Bioinform..

Bayesian estimation of depth information in three-dimensional integral imaging

Bahram Javidi, Dipak K. Dey, Xiao Xiao, 2014, Sensing Technologies + Applications.

Modeling Associations Among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach

Dipak K. Dey, Sylvie Tchumtchoua, 2012 .

State space mixed models for binary responses with scale mixture of normal distributions links

Dipak K. Dey, Carlos A. Abanto-Valle, D. Dey, 2014, Comput. Stat. Data Anal..

Bayesian sparse reduced rank multivariate regression

Dipak K. Dey, Kun Chen, Gyuhyeong Goh, 2017, J. Multivar. Anal..

Bayesian Geophysical, Spatial and Temporal Statistics

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

A Bayesian Mixture Model for Protein Biomarker Discovery

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Bayesian Methods for Genomics, Molecular and Systems Biology

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Applications of MOSS for Discrete Multi-Way Data

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Clique-Based Method for Social Network Clustering

Dipak K. Dey, Panpan Zhang, Guang Ouyang, 2017, Journal of Classification.

Constrained Statistical Decisions in Evolving Environments

Dipak K. Dey, Daniel T. Larose, Elijah Gaioni, 2009 .

Bayesian Clinical Trials

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Objective Bayesian Inference with Applications

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Bayesian Model Selection and Hypothesis Tests

Dipak K. Dey, Ming-Hui Chen, Peter Müller, 2010 .

Bayesian Hidden Markov Modeling of Array CGH Data

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Bayesian Robust Inference for Differential Gene Expression

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Bayesian inference in nonlinear mixed-effects models using normal independent distributions

Dipak K. Dey, Victor H. Lachos, Luis Mauricio Castro, 2013, Comput. Stat. Data Anal..

Bayesian Decision Based Estimation and Predictive Inference

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data

Dipak K. Dey, Francisco Louzada, Vicente G. Cancho, 2016 .

Bayesian Approach for Nonlinear Random Effects Models

Hong Chang, Dipak K. Dey, Ming-Hui Chen, 1997 .

Nonparametric Bayesian Bioinformatics

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Survival Analysis Using Semiparametric Bayesian Methods

Dipak K. Dey, Debajyoti Sinha, 1998 .

An extended poisson family of life distribution: a unified approach in competitive and complementary risks

Dipak K. Dey, Pedro L. Ramos, Francisco Louzada, 2018 .

A Bayesian Approach to Robust Skewed Autoregressive Processes

Dipak K. Dey, Mohammad Reza Mahmoudi, Reinaldo B. Arellano-Valle, 2017 .

Bayesian variable selection using spike‐and‐slab priors with application to high dimensional electroencephalography data by local modelling

Yuping Zhang, Dipak K. Dey, Shariq Mohammed, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Bayesian Inference for Complex Computer Models

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

A Mixed-Membership Model for Social Network Clustering pdf

Dipak K. Dey, Panpan Zhang, Guang Ouyang, 2017, Journal of Data Science.

On local sensitivity measures in Bayesian analysis

Dipak K. Dey, Sujit K. Ghosh, Kou-Ren Lou, 1996 .

Bayesian Design of Non-inferiority Clinical Trials Via the Bayes Factor

Xiaojing Wang, Dipak K. Dey, Ming-Hui Chen, 2018, Statistics in biosciences.

Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation

Dipak K. Dey, Weidong Li, Chuanrong Zhang, 2013, TheScientificWorldJournal.

Bayesian modeling of bathtub shaped hazard rate using various Weibull extensions and related issues of model selection

Dipak K. Dey, Satyanshu K. Upadhyay, Ashutosh Gupta, 2012, Sankhya B.

Bayes and Empirical Bayes Methods for Spotted Microarray Data Analysis

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Modelling accelerated life test data by using a Bayesian approach

Dipak K. Dey, Debajyoti Sinha, Kauhsik Patra, 2003 .

Bayesian model diagnostics using functional Bregman divergence

Dipak K. Dey, Gyuhyeong Goh, D. Dey, 2014, J. Multivar. Anal..

Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution

Dipak K. Dey, Narayanaswamy Balakrishnan, Vicente G. Cancho, 2020, J. Comput. Appl. Math..

Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

A flexible bathtub hazard model for non-repairable systems with uncensored data

William J. Kolarik, Dipak K. Dey, Lloyd R. Jaisingh, 1987 .

Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution

Dipak K. Dey, Weidong Li, Chuanrong Zhang, 2012, Int. J. Geogr. Inf. Sci..

Semiparametric Functional Estimation Using Quantile-Based

Mircea Grigoriu, Dipak K. Dey, Elijah Gaioni, 2008 .

Power link functions in an ordinal regression model with Gaussian process priors

Dipak K. Dey, D. Li, X. Wang, 2019, Environmetrics.

Bayesian Influence and Frequentist Interface

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Flexible regression modeling for censored data based on mixtures of student-t distributions

Dipak K. Dey, Celso Rômulo Barbosa Cabral, Marcos O. Prates, 2018, Comput. Stat..

A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles

Dipak K. Dey, Samiran Ghosh, Dennis W. Hill, 2007, BMC Bioinformatics.

Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods

Hong Chang, Dipak K. Dey, Alan E. Gelfand, 1992 .

Bayesian Data Mining and Machine Learning

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Bayesian Design of Noninferiority Clinical Trials with Co-primary Endpoints and Multiple Dose Comparison

Dipak K. Dey, Ming-Hui Chen, Wenqing Li, 2015 .

Model Based Penalized Clustering for Multivariate Data

Dipak K. Dey, Samiran Ghosh, 2007 .

Leveraging mixed and incomplete outcomes via reduced-rank modeling

Fei Wang, Changshui Zhang, Dipak K. Dey, 2018, J. Multivar. Anal..

Bayesian Categorical Data Analysis

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2011, Comput. Stat. Data Anal..

Simulation Based Model Checking for Hierarchical Models

Dipak K. Dey, Tim B. Swartz, Alan E. Gelfand, 2004 .

Bayesian Markov Chain Random Field Cosimulation for Improving Land Cover Classification Accuracy

Dipak K. Dey, Guiling Wang, Weidong Li, 2015, Mathematical Geosciences.

Bayesian Approaches for Overdispersion in Generalized Linear Models

Nalini Ravishanker, Dipak K. Dey, D. Dey, 1998 .

Modeling publication bias using weighted distributions in a Bayesian framework

Dipak K. Dey, Daniel T. Larose, D. Dey, 1998 .

On the product and ratio of t random variables

Saralees Nadarajah, Dipak K. Dey, 2006, Appl. Math. Lett..

Bayesian Nonparametrics and Semi-parametrics

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

A Bayesian Approach Using Nonhomogeneous Poisson Process for Software Reliability Models

Dipak K. Dey, Jorge A. Achcar, D. Dey, 2007 .

Bayesian Parallel Computation for Intractable Likelihood Using Griddy-Gibbs Sampler

Dipak K. Dey, Satyanshu K. Upadhyay, Umesh Singh, 2015 .

Categorical Data Analysis Using a Skewed Weibull Regression Model

Dipak K. Dey, Adriano Polpo, Debajyoti Sinha, 2017, Entropy.

A simulation-intensive approach for checking hierarchical models

Dipak K. Dey, Tim B. Swartz, Alan E. Gelfand, 1998 .

Learning Bayesian Networks for Gene Expression Data

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Flexible link functions in a joint model of binary and longitudinal data

Xia Wang, Dipak K. Dey, Dan Li, 2015 .

Fixed-Effects Linear Models

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

Heckman selection-t model: Parameter estimation via the EM-algorithm

Dipak K. Dey, Victor H. Lachos, Marcos Oliveira Prates, 2021, J. Multivar. Anal..

Inference for the General Linear Model-I

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

A Type of Sample Size Planning for Mean Comparison in Clinical Trials

Dipak K. Dey, Junfeng Liu, D. Dey, 2021 .

Bregman divergence to generalize Bayesian influence measures for data analysis

Dipak K. Dey, Luis M. Castro, Debajyoti Sinha, 2021, Journal of Statistical Planning and Inference.

Generalized Inverses and Solutions to Linear Systems

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

Spatial Tweedie exponential dispersion models: an application to insurance rate-making

Dipak K. Dey, Aritra Halder, Shariq Mohammed, 2021 .

Review of Vector and Matrix Algebra

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

On moments of folded and doubly truncated multivariate extended skew-normal distributions

Dipak K. Dey, Victor H. Lachos, Larissa A. Matos, 2021, Journal of Computational and Graphical Statistics.

Investigating Several Fundamental Properties of Random Lobster Trees and Random Spider Trees

Dipak K. Dey, Panpan Zhang, Yuxin Ren, 2021, Methodology and Computing in Applied Probability.

A note on response mean confidence band for linear regression models

Nalini Ravishanker, Dipak K. Dey, Junfeng Liu, 2019, Commun. Stat. Simul. Comput..

Sampling from the Multivariate Normal Distribution

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

General Linear Model

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

Multiple Linear Regression Models

Nalini Ravishanker, Dipak K. Dey, Zhiyi Chi, 2021, A First Course in Linear Model Theory.

Bayesian modeling in bioinformatics

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

Improved Estimation of a Patterned Covariance Matrix

Dipak K. Dey, Alan E. Gelfand, A. Gelfand, 1989 .

A Bayesian predictive approach to determining the number of components in a mixture distribution

Lynn Kuo, Dipak K. Dey, Sujit K. Sahu, 1995 .

Semiparametric Proportional Odds Models for Spatially Correlated Survival Data

Dipak K. Dey, Sudipto Banerjee, D. Dey, 2005, Lifetime data analysis.

Multivariate process capability a bayesian perspective

Dipak K. Dey, Murali Niverthi, D. Dey, 2000 .

Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model

Dipak K. Dey, D. Dey, V. H. Lachos, 2015 .

Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields

Dipak K. Dey, Chuanrong Zhang, Shanqin Wang, 2010 .

Compound Poisson distributions : properties and estimation

Dipak K. Dey, Younshik Chung, D. Dey, 1992 .

Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

Dipak K. Dey, Xia Wang, D. Dey, 2011, 1101.1373.

Bayesian and frequentist estimation and prediction for exponential distributions

Dipak K. Dey, Dongchu Sun, Cuirong Ren, 2006 .

COMPOSITIONAL TIME SERIES ANALYSIS OF MORTALITY PROPORTIONS

Nalini Ravishanker, Dipak K. Dey, D. Dey, 2001 .

Multivariate Survival Models with a Mixture of Positive Stable Frailties

Nalini Ravishanker, Dipak K. Dey, D. Dey, 2000 .

Ranges of Posterior Expected Losses and ε-Robust Actions

Dipak K. Dey, Athanasios C. Micheas, D. Dey, 2000 .

Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective

Dipak K. Dey, Victor H. Lachos, Vicente G. Cancho, 2009 .

Skew random effects in multilevel binomial models

Dipak K. Dey, Junfeng Liu, D. Dey, 2008 .

Hierarchical overdispersed Poisson model with macrolevel autocorrelation

Dipak K. Dey, Junfeng Liu, D. Dey, 2007 .

Modeling shape distributions and inferences for assessing differences in shapes

Dipak K. Dey, Athanasios C. Micheas, D. Dey, 2005 .

APPLYING THE SAVAGE-DICKEY DENSITY RATIO TO DEFAULT BAYES FACTORS, WITH AN ILLUSTRATION TO OUTLIER DETECTION IN RANDOM EFFECTS MODELS

Dipak K. Dey, Younshik Chung, D. Dey, 2001 .

Estimation and Testing in Time-Course Microarray Experiments

Bani K. Mallick, Dipak K. Dey, Samiran Ghosh, 2010 .

A General Class of Change Point and Change Curve Modeling for Life Time Data

Dipak K. Dey, Kaushik Patra, 2002 .

Model determination for the variance component model using reference priors

Dipak K. Dey, Younshik Chung, D. Dey, 2002 .

Overdispersed Generalized Linear Models

Dipak K. Dey, Alan E. Gelfand, Fengchun Peng, 1997 .

Bayesian analysis of multivariate mortality data with large families

Dipak K. Dey, Ming-Hui Chen, Debajyoti Sinha, 2000 .

PRIOR AND POSTERIOR PREDICTIVE P-VALUES IN THE ONE-SIDED LOCATION PARAMETER TESTING PROBLEM

Dipak K. Dey, Athanasios C. Micheas, 2003 .

A new class of flexible link functions with application to species co-occurrence in cape floristic region

Dipak K. Dey, Kent E. Holsinger, Adam M. Wilson, 2013, 1401.1915.

A BAYESIAN APPROACH TO LOSS ROBUSTNESS

Dipak K. Dey, Sudip Bose, D. Dey, 1998 .

On comparison of estimators in a generalized life model

Dipak K. Dey, D. Dey, P. Liu, 1992 .

Variable selection for multivariate logistic regression models

Dipak K. Dey, Ming-Hui Chen, D. Dey, 2003 .

Simultaneous estimation of parameters under entropy loss

Dipak K. Dey, Malay Ghosh, C. Srinivasan, 1986 .

Improved estimation of a multinormal precision matrix

Dipak K. Dey, D. Dey, 1987 .

A nonparametric approach to k-sample inference based on entropy-super-*

Dipak K. Dey, Ashis K. Gangopadhyay, Robert Disario, 1997 .

Practical Nonparametric and Semiparametric Bayesian Statistics (Lecture Notes in Statistics 137)

Dipak K. Dey, Peter Müller, Ram C. Tiwari, 1999 .

On Bayesian Analysis of Generalized Linear Models Using the Jacobian Technique

Dipak K. Dey, D. Dey, Sourish Das, 2006 .

On Bayesian Inference for Generalized Multivariate Gamma Distribution

Dipak K. Dey, D. Dey, Sourish Das, 2010 .

A Bayesian Hierarchical Model for Analysis of Single-Nucleotide Polymorphisms Diversity in Multilocus, Multipopulation Samples

Dipak K. Dey, Kent E. Holsinger, D. Dey, 2009 .

A class of dynamic piecewise exponential models with random time grid

Dipak K. Dey, Rosangela H. Loschi, Enrico A. Colosimo, 2012 .

Multitude of multivariate t-distributions

Saralees Nadarajah, Dipak K. Dey, S. Nadarajah, 2005 .

Generalized extreme value regression for ordinal response data

Dipak K. Dey, Xia Wang, D. Dey, 2011, Environmental and Ecological Statistics.

Simultaneous estimation of eigenvalues

Dipak K. Dey, D. Dey, 1988 .

Bayesian Analysis of Binary Data Using Skewed Logit Models

Dipak K. Dey, Ming-Hui Chen, Qi-Man Shao, 2001 .

Long-term survival models with latent activation under a flexible family of distributions

Dipak K. Dey, Vicente G. Cancho, Mário de Castro, 2013 .