Dipak K. Dey

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Nearest Neighbor

Linear Regression Models

Model Selection

Bayesian Model Selection

Top Venues

J. Multivar. Anal.

J. Comput. Graph. Stat.

Comput. Stat. Data Anal.

Publications

Zhiyong Hu, Dipak K. Dey
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. J. Comput. Graph. Stat. 33 (2) (2024)
Zaida C. Quiroz, Marcos Oliveira Prates, Dipak K. Dey, Håvard Rue
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data. Stat. Comput. 33 (2) (2023)
Peng Zhao, Hou-Cheng Yang, Dipak K. Dey, Guanyu Hu
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. KDD (2023)
Sybille Légitime, Kaustubh Prabhu, Devin J. McConnell, Bing Wang, Dipak K. Dey, Derek Aguiar
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration. CoRR (2023)
Christian E. Galarza Morales, Larissa A. Matos, Dipak K. Dey, Victor H. Lachos
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions. J. Comput. Graph. Stat. 31 (1) (2022)
Victor H. Lachos, Marcos Oliveira Prates, Dipak K. Dey
Heckman selection-t model: Parameter estimation via the EM-algorithm. J. Multivar. Anal. 184 (2021)
Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen
Generalized co-sparse factor regression. Comput. Stat. Data Anal. 157 (2021)
Dipak K. Dey, Junfeng Liu, Nalini Ravishanker, Edwards Qiang Zhang
A note on response mean confidence band for linear regression models. Commun. Stat. Simul. Comput. 50 (3) (2021)
Shariq Mohammed, Dipak K. Dey, Yuping Zhang
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. Stat. Anal. Data Min. 13 (5) (2020)
Yiqi Bao, Vicente G. Cancho, Dipak K. Dey, Narayanaswamy Balakrishnan, Adriano K. Suzuki
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. J. Comput. Appl. Math. 364 (2020)
Guang Ouyang, Dipak K. Dey, Panpan Zhang
Clique-Based Method for Social Network Clustering. J. Classif. 37 (1) (2020)
Yiqi Bao, Vicente G. Cancho, Dipak K. Dey, Francisco Louzada, Adriano K. Suzuki
D-Measure: A Bayesian Model Selection Criterion for Survival Data. Adv. Data Sci. Adapt. Anal. 11 (3-4) (2019)
Victor H. Lachos, Celso R. B. Cabral, Marcos Oliveira Prates, Dipak K. Dey
Flexible regression modeling for censored data based on mixtures of student-t distributions. Comput. Stat. 34 (1) (2019)
Renault Caron, Debajyoti Sinha, Dipak K. Dey, Adriano Polpo
Categorical Data Analysis Using a Skewed Weibull Regression Model. Entropy 20 (3) (2018)
Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167 (2018)
Aaron Palmer, Dipak K. Dey, Jinbo Bi
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI (2018)
Guang Ouyang, Dipak K. Dey, Panpan Zhang
Model-Based Method for Social Network Clustering. CoRR (2017)
Guang Ouyang, Dipak K. Dey, Panpan Zhang
Clique-based Method for Social Network Clustering. CoRR (2017)
Gyuhyeong Goh, Dipak K. Dey, Kun Chen
Bayesian sparse reduced rank multivariate regression. J. Multivar. Anal. 157 (2017)
Guojun Gan, Yuping Zhang, Dipak K. Dey
Clustering by propagating probabilities between data points. Appl. Soft Comput. 41 (2016)
Carlos A. Abanto-Valle, Dipak K. Dey
State space mixed models for binary responses with scale mixture of normal distributions links. Comput. Stat. Data Anal. 71 (2014)
Gyuhyeong Goh, Dipak K. Dey
Bayesian model diagnostics using functional Bregman divergence. J. Multivar. Anal. 124 (2014)
Victor Hugo Lachos, Luis Mauricio Castro, Dipak K. Dey
Bayesian inference in nonlinear mixed-effects models using normal independent distributions. Comput. Stat. Data Anal. 64 (2013)
Weidong Li, Chuanrong Zhang, Dipak K. Dey
Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution. Int. J. Geogr. Inf. Sci. 26 (4) (2012)
Vicente G. Cancho, Dipak K. Dey, Victor H. Lachos, Marinho Gomes Andrade
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics. Comput. Stat. Data Anal. 55 (1) (2011)
Samiran Ghosh, David F. Grant, Dipak K. Dey, Dennis W. Hill
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles. BMC Bioinform. 9 (2008)
Saralees Nadarajah, Dipak K. Dey
random variables. Appl. Math. Lett. 19 (1) (2006)
Rongwei Fu, Dipak K. Dey, Kent E. Holsinger
Bayesian models for the analysis of genetic structure when populations are correlated. Bioinform. 21 (8) (2005)