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Dipak K. Dey
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- affiliation: University of Connecticut, Storrs, CT, USA
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2020 – today
- 2024
- [j23]Zhiyong Hu, Dipak K. Dey:
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. J. Comput. Graph. Stat. 33(2): 477-486 (2024) - 2023
- [j22]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): 54 (2023) - [c2]Peng Zhao
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. KDD 2023: 3504-3512 - [i3]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 abs/2309.10837 (2023) - 2022
- [j21]Christian E. Galarza Morales
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions. J. Comput. Graph. Stat. 31(1): 455-465 (2022) - 2021
- [j20]Aditya Mishra
Generalized co-sparse factor regression. Comput. Stat. Data Anal. 157: 107127 (2021) - [j19]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): 778-785 (2021) - [j18]Victor H. Lachos
Heckman selection-t model: Parameter estimation via the EM-algorithm. J. Multivar. Anal. 184: 104737 (2021) - 2020
- [j17]Guang Ouyang, Dipak K. Dey, Panpan Zhang
Clique-Based Method for Social Network Clustering. J. Classif. 37(1): 254-274 (2020) - [j16]Yiqi Bao, Vicente G. Cancho
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. J. Comput. Appl. Math. 364 (2020) - [j15]Shariq Mohammed
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. Stat. Anal. Data Min. 13(5): 465-481 (2020)
2010 – 2019
- 2019
- [j14]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): 1950007:1-1950007:18 (2019) - [j13]Victor H. Lachos
Flexible regression modeling for censored data based on mixtures of student-t distributions. Comput. Stat. 34(1): 123-152 (2019) - 2018
- [j12]Renault Caron, Debajyoti Sinha, Dipak K. Dey, Adriano Polpo
Categorical Data Analysis Using a Skewed Weibull Regression Model. Entropy 20(3): 176 (2018) - [j11]Chongliang Luo
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167: 378-394 (2018) - [c1]Aaron Palmer, Dipak K. Dey, Jinbo Bi:
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI 2018: 1009-1019 - 2017
- [j10]Gyuhyeong Goh, Dipak K. Dey, Kun Chen
Bayesian sparse reduced rank multivariate regression. J. Multivar. Anal. 157: 14-28 (2017) - [i2]Guang Ouyang, Dipak K. Dey, Panpan Zhang:
Model-Based Method for Social Network Clustering. CoRR abs/1708.07604 (2017) - [i1]Guang Ouyang, Dipak K. Dey, Panpan Zhang:
Clique-based Method for Social Network Clustering. CoRR abs/1708.07609 (2017) - 2016
- [j9]Guojun Gan
Clustering by propagating probabilities between data points. Appl. Soft Comput. 41: 390-399 (2016) - 2014
- [j8]Carlos A. Abanto-Valle
State space mixed models for binary responses with scale mixture of normal distributions links. Comput. Stat. Data Anal. 71: 274-287 (2014) - [j7]Gyuhyeong Goh
Bayesian model diagnostics using functional Bregman divergence. J. Multivar. Anal. 124: 371-383 (2014) - 2013
- [j6]Victor Hugo Lachos
Bayesian inference in nonlinear mixed-effects models using normal independent distributions. Comput. Stat. Data Anal. 64: 237-252 (2013) - 2012
- [j5]Weidong Li
Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution. Int. J. Geogr. Inf. Sci. 26(4): 599-620 (2012) - 2011
- [j4]Vicente G. Cancho
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics. Comput. Stat. Data Anal. 55(1): 588-602 (2011)
2000 – 2009
- 2008
- [j3]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) - 2006
- [j2]Saralees Nadarajah, Dipak K. Dey:
On the product and ratio of t random variables. Appl. Math. Lett. 19(1): 45-55 (2006) - 2005
- [j1]Rongwei Fu, Dipak K. Dey, Kent E. Holsinger
Bayesian models for the analysis of genetic structure when populations are correlated. Bioinform. 21(8): 1516-1529 (2005)
Coauthor Index
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