Dipak K. Dey
Distinguished Professor/Statistics

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A First Course in Linear Model Theory, 2nd Ed
2021
Research Type: Book

Generalized co-sparse factor regression
2021
Aditya Mishra, Dipak Dey, Yong Chen, Kun Chen
Research Type: Journal Article

Spatial Tweedie exponential dispersion models: an application to insurance rate-making
2021
Aritra Halder, Dipak Dey, Kun Chen, Shariq Mohammed
Research Type: Journal Article

Fully and empirical Bayes approaches to estimating copula-based models for bivariate mixed outcomes using Hamiltonian Monte Carlo
2021
Ved Deshpande, Elizabeth Schifano, Dipak Dey
Research Type: Journal Article

Investigating emergent nested geographic structure in consumer purchases: a Bayesian dynamic multi-scale spatiotemporal modeling approach.
2020
Joseph Pancras, Xia Wang, Dipak Dey
Research Type: Journal Article

Learning Semiparametric Regression with Missing Covariates Using Gaussian Process Models
2020
Abhishek Bishoyi, Dipak Dey, Xiaojing Wang
Research Type: Journal Article

Spatial Tweedie exponential dispersion models
2020
Aritra Halder, Kun Chen, Dipak Dey, Shariq Mohammed
Research Type: Journal Article

Track-to-Track Fusion Using Inside Information from Local IMM Estimators
2020
Peter K Willett, Radu Visina, Yaakov M Bar-Shalom, Dipak Dey
Research Type: Journal Article

Bayesian variable selection using spike-and-slab priors with application to high dimensional electroencephalography data by local modelling
2019
Dipak Dey, Shariq Mohammed, Yuping Zhang
Research Type: Journal Article

The impact of missing values on different measures of uncertainty
2019
Chantal Larose, Dipak Dey, Ofer Harel
Research Type: Journal Article

Variable Selection for Correlated Bivariate Mixed Outcomes using Penalized Generalized Estimating Equations
2019
Dipak Dey, Ved Deshpande, Elizabeth Schifano
Research Type: Journal Article

Spatial risk estimation in Tweedie compound Poisson double generalized linear models
2019
Kun Chen, Aritra Halder, Shariq Mohammed, Dipak Dey
Research Type: Journal Article

Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis
2018
Dipak Dey
Research Type: Journal Article

Leveraging mixed and incomplete outcomes via reduced-rank modeling
2018
Fei Wang, Dipak Dey, Gen Li, Changshui Zhang, Kun Chen, Chongliang Luo, Jian Liang
Research Type: Journal Article

Influence diagnostics in spatial models with censored response
2017
Aldo M. Garay, Dipak Dey, VĂ­ctor H. Lachos, Larissa A. Matos, Thais S. Barbosa
Research Type: Journal Article

Sequential co-sparse factor regression
2017
Dipak Dey, Aditya Mishra, Kun Chen
Research Type: Journal Article

Bayesian Analysis of Scale Mixtures of Log-Birnbaum-Saunders Regression Models with Censored Data
2017
Dipak Dey, V.G. Cancho, V.H. Lachos
Research Type: Journal Article

Inference for Large Tree-Structured Data
2017
P. Kambadur, Dipak Dey, B. Baladandayuthapani, K. Bharath
Research Type: Journal Article

Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach
2017
Francisco Louzada, Dipak Dey, Vicente G. Cancho, Victor H. Lachos
Research Type: Journal Article

Asymptotic Properties of Marginal Least Squares Estimator for Ultrahigh-Dimensional Linear Regression Models with Correlated Errors. The American Statistician.
2017
Dipak Dey
Research Type: Journal Article