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ORCIDDipak K. Dey
Person information
- affiliation: University of Connecticut, Storrs, CT, USA
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Journal Articles
- 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)- 2022
- [j21]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): 455-465 (2022) - 2021
- [j20]Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen:
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, Marcos Oliveira Prates, Dipak K. Dey:
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, 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) - [j15]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): 465-481 (2020) - 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, 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): 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, 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: 378-394 (2018) - 2017
- [j10]Gyuhyeong Goh, Dipak K. Dey, Kun Chen:
Bayesian sparse reduced rank multivariate regression. J. Multivar. Anal. 157: 14-28 (2017) - 2016
- [j9]Guojun Gan, Yuping Zhang, Dipak K. Dey:
Clustering by propagating probabilities between data points. Appl. Soft Comput. 41: 390-399 (2016) - 2014
- [j8]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: 274-287 (2014) - [j7]Gyuhyeong Goh, Dipak K. Dey:
Bayesian model diagnostics using functional Bregman divergence. J. Multivar. Anal. 124: 371-383 (2014) - 2013
- [j6]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: 237-252 (2013) - 2012
- [j5]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): 599-620 (2012) - 2011
- [j4]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): 588-602 (2011) - 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)
Conference and Workshop Papers
- 2023
- [c2]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: 3504-3512 - 2018
- [c1]Aaron Palmer, Dipak K. Dey, Jinbo Bi:
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI 2018: 1009-1019
Informal and Other Publications
- 2023
- [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) - 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)
Coauthor Index
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