Dipak K. Dey
Distinguished Professor/Statistics

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Scholarly Contributions

154 Scholarly Contributions

109
Journal Articles
30
Poster/Presentations
8
Books
3
Conference Proceedings
3
Book Chapters
1
Other Scholarly Work
Influence diagnostics in spatial models with censored response
2017
Aldo M. Garay, Dipak Dey, Víctor 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

Asymptotic Properties of Marginal Least Squares Estimator for Ultrahigh-Dimensional Linear Regression Models with Correlated Errors
2017
Dipak Dey, Goh Guhyong
Research Type: Journal Article

Censored regression models with autoregressive errors: A likelihood-based perspective
2017
Victor H. Lachos, Fernanda L. Schumacher, Dipak Dey
Research Type: Journal Article

Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target.
2017
Dipak K. Dey
Research Type: Journal Article

Bayesian sparse reduced rank multivariate regression
2017
Kun Chen, Dipak Dey, Gyuhyeong Goh
Research Type: Journal Article

Variable Selection with Correlated Bivariate Mixed Outcomes with Penalized Estimating Equations
2017
Dipak Dey, Elizabeth Schifano, Ved Deshpande
Research Type: Poster/Presentation

A Flexible Cure Rate Model for Spatially Correlated Survival Data Based on Generalized Extreme Value Distribution and Gaussian Process Priors
2017
Dipak K Dey
Research Type: Poster/Presentation

Modeling of Large Insurance Claims and Occurrence Data
2017
Dipak K Dey
Research Type: Poster/Presentation

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

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

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