Dipak K. Dey

Dipak K. Dey

University of Connecticut

H-index: 54

North America-United States

About Dipak K. Dey

Dipak K. Dey, With an exceptional h-index of 54 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Bayesian analysis, Statistical Decision Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Finite mixture of regression models for censored data based on the skew-t distribution

Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data

A Bayesian approach for mixed effects state‐space models under skewness and heavy tails

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures

Bayesian modeling with spatial curvature processes

Power laws distributions in objective priors

Revisiting the Samejima–Bolfarine–Bazán IRT models: New features and extensions

Dipak K. Dey Information

University

Position

Distinguished Professor of Statistics

Citations(all)

15458

Citations(since 2020)

4286

Cited By

13933

hIndex(all)

54

hIndex(since 2020)

30

i10Index(all)

193

i10Index(since 2020)

97

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Dipak K. Dey Skills & Research Interests

Bayesian analysis

Statistical Decision Theory

Top articles of Dipak K. Dey

Title

Journal

Author(s)

Publication Date

Finite mixture of regression models for censored data based on the skew-t distribution

Computational Statistics

Jiwon Park

Dipak K Dey

Víctor H Lachos

2024/2/10

Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data

Statistics and Computing

Zaida C Quiroz

Marcos O Prates

Dipak K Dey

H åvard Rue

2023/4

A Bayesian approach for mixed effects state‐space models under skewness and heavy tails

Biometrical Journal

Lina L Hernandez‐Velasco

Carlos A Abanto‐Valle

Dipak K Dey

Luis M Castro

2023/12

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

Journal of Applied Statistics

Rosineide da Paz

Jorge Luis Bazán

Victor Hugo Lachos

Dipak Dey

2023/3/12

Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures

Peng Zhao

Hou-Cheng Yang

Dipak K Dey

Guanyu Hu

2023/8/6

Bayesian modeling with spatial curvature processes

Journal of the American Statistical Association

Aritra Halder

Sudipto Banerjee

Dipak K Dey

2023/3/8

Power laws distributions in objective priors

arXiv preprint arXiv:2005.07674

Pedro L Ramos

Francisco A Rodrigues

Eduardo Ramos

Dipak K Dey

Francisco Louzada

2020/5/15

Revisiting the Samejima–Bolfarine–Bazán IRT models: New features and extensions

Brazilian Journal of Probability and Statistics

Jorge Luis Bazán

Sandra Elizabeth Flores Ari

Caio LN Azevedo

Dipak K Dey

2023/3

Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models

arXiv preprint arXiv:2306.11165

Aritra Halder

Shariq Mohammed

Dipak K Dey

2023/6/19

Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players

Canadian Journal of Statistics

Guanyu Hu

Hou‐Cheng Yang

Yishu Xue

Dipak K Dey

2023/3

The Latent-Space Adjusted Approach: An Alternative form in Modeling Economic Development and Forest Cover

Dipak K Dey

Brisilda Ndreka

2022

Estimation of covid-19 mortality in the united states using spatio-temporal conway maxwell poisson model

Spatial Statistics

Xiaomeng Li

Dipak K Dey

2022/6/1

Investigating several fundamental properties of random lobster trees and random spider trees

Methodology and Computing in Applied Probability

Yuxin Ren

Panpan Zhang

Dipak K Dey

2022/3

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

Journal of Computational and Graphical Statistics

Christian E Galarza Morales

Larissa A Matos

Dipak K Dey

Victor H Lachos

2022/4/3

Spatial risk estimation in Tweedie double generalized linear models

Proceedings of International E-Conference on Mathematical and Statistical Sciences: A Selcuk Meeting

Aritra Halder

Shariq Mohammed

Kun Chen

Dipak K Dey

2022

Approximation of Zero-Inflated Poisson Credibility Premium via Variational Bayes Approach

Risks

Minwoo Kim

Himchan Jeong

Dipak Dey

2022/3/3

Generalized co-sparse factor regression

Computational Statistics & Data Analysis

Aditya Mishra

Dipak K Dey

Yong Chen

Kun Chen

2021

Effect of Variable Levels of Metabolisable Energy and Metabolisable Protein On Growth, Immunity and Health Performance in Male Murrah Buffalo Calves (Bubalus Bubalis)

Prince Chauhan

Raman Malik

Shambhvi Shambhvi

Dipak Dey

Zahid Bashir

2021/10/25

Investigating emergent nested geographic structure in consumer purchases: a Bayesian dynamic multi-scale spatiotemporal modeling approach

Journal of Applied Statistics

Xia Wang

Joseph Pancras

Dipak K Dey

2021/2/17

Scalable spatio‐temporal Bayesian analysis of high‐dimensional electroencephalography data

Canadian Journal of Statistics

Shariq Mohammed

Dipak K Dey

2021/3

See List of Professors in Dipak K. Dey University(University of Connecticut)

Co-Authors

H-index: 107
bahram javidi

bahram javidi

University of Connecticut

H-index: 92
James Berger

James Berger

Duke University

H-index: 86
alan e gelfand

alan e gelfand

Duke University

H-index: 83
Ming-Hui Chen

Ming-Hui Chen

University of Connecticut

H-index: 82
Michael Willig

Michael Willig

University of Connecticut

H-index: 50
Kent Holsinger

Kent Holsinger

University of Connecticut

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