3 papers
stat.ME2025
Predictor-Informed Bayesian Nonparametric Clustering
Md Yasin Ali Parh, Jeremy T. Gaskins
In this project we are interested in performing clustering of observations such that the cluster membership is influenced by a set of predictors. To that end, we employ the Bayesia…
stat.ME2024
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
Anish Mukherjee, Jeremy T. Gaskins, Shoumi Sarkar +2
We develop a new longitudinal count data regression model that accounts for zero-inflation and spatio-temporal correlation across responses. This project is motivated by an analysi…
stat.ME2023
A Bayesian Methodology for Estimation for Sparse Canonical Correlation
Siddhesh Kulkarni, Subhadip Pal, Jeremy T. Gaskins
It can be challenging to perform an integrative statistical analysis of multi-view high-dimensional data acquired from different experiments on each subject who participated in a j…