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Author: Kiranmoy Das

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Displaying 1 - 7 of 7

2023

A Bayesian variable selection approach to longitudinal quantile regression

Priya Kedia, Damitri Kundu, Kiranmoy Das

Statistical Methods & Applications, 2023

2021

Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach with an Application to the Health and Retirement Study

Kiranmoy Das, Pulak Ghosh, Michael Daniels

Journal of the American Statistical Association, 2021

A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study

Kiranmoy Das, Bhuvanesh Pareek, Sarah Brown, Pulak Ghosh

Computational Statistics, 2021

2020

A Bayesian approach of analysing semi-continuous longitudinal data with monotone missingness

Jayabrata Biswas, Kiranmoy Das

STATISTICAL MODELLING, 2020

A semi-parametric quantile regression approach to zero-inflated and incomplete longitudinal outcomes

Jayabrata Biswas, Pulak Ghosh, Kiranmoy Das

AStA Advances in Statistical Analysis, 2020

A Bayesian quantile regression approach to multivariate semi-continuous longitudinal data

Jayabrata Biswas, Kiranmoy Das

Computational Statistics, 2020

Forthcoming

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros

Chitradipa Chakraborty, Kiranmoy Das

arxiv, Forthcoming

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