Bayesian models for the analysis of genetic structure when populations are correlated. - Rongwei Fu; Dipak K. Dey; Kent E. Holsinger (Bioinform., 2005)

On the product and ratio of t random variables. - Saralees Nadarajah; Dipak K. Dey (Appl. Math. Lett., 2006)

A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles. - Samiran Ghosh; David F. Grant; Dipak K. Dey; Dennis W. Hill (BMC Bioinform., 2008)

Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics. - Vicente G. Cancho; Dipak K. Dey; Victor H. Lachos; Marinho Gomes Andrade (Comput. Stat. Data Anal., 2011)

Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution. - Weidong Li 003; Chuanrong Zhang; Dipak K. Dey (Int. J. Geogr. Inf. Sci., 2012)

Bayesian inference in nonlinear mixed-effects models using normal independent distributions. - Victor Hugo Lachos; Luis Mauricio Castro; Dipak K. Dey (Comput. Stat. Data Anal., 2013)

State space mixed models for binary responses with scale mixture of normal distributions links. - Carlos A. Abanto-Valle; Dipak K. Dey (Comput. Stat. Data Anal., 2014)

Bayesian model diagnostics using functional Bregman divergence. - Gyuhyeong Goh; Dipak K. Dey (J. Multivar. Anal., 2014)

Clustering by propagating probabilities between data points. - Guojun Gan; Yuping Zhang; Dipak K. Dey (Appl. Soft Comput., 2016)

Model-Based Method for Social Network Clustering. - Guang Ouyang; Dipak K. Dey; Panpan Zhang (CoRR, 2017)

Bayesian sparse reduced rank multivariate regression. - Gyuhyeong Goh; Dipak K. Dey; Kun Chen 002 (J. Multivar. Anal., 2017)

Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. - Aaron Palmer; Dipak K. Dey; Jinbo Bi (UAI, 2018)

Categorical Data Analysis Using a Skewed Weibull Regression Model. - Renault Caron; Debajyoti Sinha; Dipak K. Dey; Adriano Polpo (Entropy, 2018)

Leveraging mixed and incomplete outcomes via reduced-rank modeling. - Chongliang Luo; Jian Liang 002; Gen Li 004; Fei Wang 001; Changshui Zhang; Dipak K. Dey; Kun Chen 002 (J. Multivar. Anal., 2018)

D-Measure: A Bayesian Model Selection Criterion for Survival Data. - Yiqi Bao; Vicente G. Cancho; Dipak K. Dey; Francisco Louzada 001; Adriano K. Suzuki (Adv. Data Sci. Adapt. Anal., 2019)

Flexible regression modeling for censored data based on mixtures of student-t distributions. - Victor H. Lachos; Celso R. B. Cabral; Marcos Oliveira Prates; Dipak K. Dey (Comput. Stat., 2019)

Clique-Based Method for Social Network Clustering. - Guang Ouyang; Dipak K. Dey; Panpan Zhang (J. Classif., 2020)

Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. - Yiqi Bao; Vicente G. Cancho; Dipak K. Dey; Narayanaswamy Balakrishnan 001; Adriano K. Suzuki (J. Comput. Appl. Math., 2020)

Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. - Shariq Mohammed; Dipak K. Dey; Yuping Zhang (Stat. Anal. Data Min., 2020)

Generalized co-sparse factor regression. - Aditya Mishra; Dipak K. Dey; Yong Chen 016; Kun Chen 002 (Comput. Stat. Data Anal., 2021)

A note on response mean confidence band for linear regression models. - Dipak K. Dey; Junfeng Liu; Nalini Ravishanker; Edwards Qiang Zhang (Commun. Stat. Simul. Comput., 2021)

Heckman selection-t model: Parameter estimation via the EM-algorithm. - Victor H. Lachos; Marcos Oliveira Prates; Dipak K. Dey (J. Multivar. Anal., 2021)

On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions. - Christian E. Galarza Morales; Larissa A. Matos; Dipak K. Dey; Victor H. Lachos (J. Comput. Graph. Stat., 2022)

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. - Peng Zhao 021; Hou-Cheng Yang; Dipak K. Dey; Guanyu Hu 002 (KDD, 2023)

Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration. - Sybille Légitime; Kaustubh Prabhu; Devin J. McConnell; Bing Wang; Dipak K. Dey; Derek Aguiar (CoRR, 2023)

Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data. - Zaida C. Quiroz; Marcos Oliveira Prates; Dipak K. Dey; Håvard Rue (Stat. Comput., 2023)

Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. - Zhiyong Hu; Dipak K. Dey (J. Comput. Graph. Stat., 2024)

Finite mixture of regression models for censored data based on the skew-t distribution. - Jiwon Park; Dipak K. Dey; Victor H. Lachos (Comput. Stat., 2024)

Distribution-free inference for LightGBM and GLM with Tweedie loss. - Alokesh Manna; Aditya Vikram Sett; Dipak K. Dey; Yuwen Gu; Elizabeth D. Schifano; Jichao He (CoRR, 2025)