Bayesian estimation of the parameter of a generalized geometric series distribution under different prior distributions and loss functions. - Sanku Dey; Tanujit Dey; Lawrence Leemis (Model. Assist. Stat. Appl., 2011)

Bayesian estimation of the parameter and reliability of a Rayleigh distribution using records. - Sanku Dey; Tanujit Dey (Model. Assist. Stat. Appl., 2012)

Bayesian inference for Maxwell distribution under conjugate prior. - Sanku Dey; Tanujit Dey; Sudhansu S. Maiti (Model. Assist. Stat. Appl., 2013)

On Progressively Type-II Censored Two-parameter Rayleigh Distribution. - Tanujit Dey; Sanku Dey; Debasis Kundu (Commun. Stat. Simul. Comput., 2016)

Bayesian inference and prediction for generalized inverted exponential distribution for Type-II censored data. - Sanku Dey; Tanujit Dey; Daniel Vasiliu (Model. Assist. Stat. Appl., 2016)

Statistical inference for the generalized inverted exponential distribution based on upper record values. - Sanku Dey; Tanujit Dey; Daniel J. Luckett (Math. Comput. Simul., 2016)

Statistical inference for the generalized Rayleigh distribution based on upper record values. - Sanku Dey; Tanujit Dey; Daniel J. Luckett (Model. Assist. Stat. Appl., 2017)

Bayesian time series regression with nonparametric modeling of autocorrelation. - Tanujit Dey; Kun Ho Kim; Chae Young Lim (Comput. Stat., 2018)

Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States. - Tanujit Dey; Jaechoul Lee; Sounak Chakraborty; Jay Chandra; Anushka Bhaskar; Kenneth Zhang; Anchal Bhaskar; Francesca Dominici (Patterns, 2021)

Modeling to Improve Identification of Peripheral Artery Disease Cohorts from Administrative Data. - Patrick Heindel; Jessica Feliz; Abena Appah-Sampong; Christian Cerecedo-Lopez; Elizabeth Yates; Tanujit Dey; Mohamad Hussain (AMIA, 2022)

Predicting radiocephalic arteriovenous fistula success with machine learning. - Patrick Heindel; Tanujit Dey; Jessica Feliz; Dirk M. Hentschel; Deepak L. Bhatt; Mohammed Al-Omran; Michael Belkin; C. Keith Ozaki; Mohamad Hussain (npj Digit. Medicine, 2022)

Bayesian shrinkage models for integration and analysis of multiplatform high-dimensional genomics data. - Hao Xue 005; Sounak Chakraborty; Tanujit Dey (Stat. Anal. Data Min., 2024)

BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi-Platform High-Dimensional Genomics Data. - Mansoo Cho; Tanujit Dey; Hao Xue 005; Sounak Chakraborty (Stat. Anal. Data Min., 2025)