Dipak K. Dey

Mathematics · Physical Sciences

42h-index9.9kcitations359works0.42yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods and Bayesian Inference(123), Statistical Methods and Inference(89), Bayesian Methods and Mixture Models(89), Statistical Distribution Estimation and Applications(88), Advanced Statistical Methods and Models(64)

Publications359 total

Scalable spatial point process models for forensic footwear analysis
arXiv (Cornell University)·2026Open Access
Scalable spatial point process models for forensic footwear analysis
ArXiv.org·2026Open Access
EMGCR: Fit a Mixture Cure Rate Model with Custom Link Function
2025Open Access
Does childhood TB or pneumonia impact COPD or asthma in adulthood?
The International Journal of Tuberculosis and Lung Disease·2025
Distribution-free inference for LightGBM and GLM with Tweedie loss
ArXiv.org·2025Open Access
Multivariate robust linear models for multivariate longitudinal data
Journal of Multivariate Analysis·2024· 1 cited
Fast Generalized Spatial Multilevel blockNNGP Modeling
Econometrics and Statistics·2024· 1 cited
Evaluating methods for estimating influence effects in social networks: a simulation study
Communications in Statistics - Simulation and Computation·2024
Online Epsilon Net and Piercing Set for Geometric Concepts
arXiv (Cornell University)·2024Open Access
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
arXiv (Cornell University)·2024Open Access
Flexible Modeling of Hurdle Conway–Maxwell–Poisson Distributions with Application to Mining Injuries
Journal of Statistical Theory and Practice·2024· 3 cited
Finite mixture of regression models for censored data based on the skew-t distribution
Computational Statistics·2024
A Bayesian approach for mixed effects state‐space models under skewness and heavy tails
Biometrical Journal·2023Open Access
Improving Opioid Use Disorder Risk Modelling through Behavioral and Genetic Feature Integration
arXiv (Cornell University)·2023Open Access
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty
Journal of Computational and Graphical Statistics·2023· 3 cited
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures
2023· 8 citedOpen Access
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data
Statistics and Computing·2023· 6 cited
Revisiting the Samejima–Bolfarine–Bazán IRT models: New features and extensions
Brazilian Journal of Probability and Statistics·2023· 2 citedOpen Access
Bayesian Modeling with Spatial Curvature Processes
Journal of the American Statistical Association·2023· 5 citedOpen Access
Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models
The New England Journal of Statistics in Data Science·2023· 1 citedOpen Access
page 1 of 18Next →

Frequent Co-authors

Alan E. Gelfand(6), Víctor H. Lachos(6), Ming‐Hui Chen(5), Sujit K. Sahu(3), Debajyoti Sinha(3), Márcia D. Branco(2), Kent E. Holsinger(2), Barry C. Arnold(2), Robert J. Beaver(2), Bani K. Mallick(2), Cidambi Srinivasan(2), Harry G. Preuss(2), Debasis Bagchi(2), Manashi Bagchi(2), C.V. Rao(2), Srinath Satyanarayana(2), Qi-Man Shao(2), Helen Aslanidou(2), Fengchun Peng(2), Malay Ghosh(2)