3 papers
stat.ME2024
Flexible survival regression with variable selection for heterogeneous population
Abhishek Mandal, Abhisek Chakraborty
Survival regression is widely used to model time-to-events data, to explore how covariates may influence the occurrence of events. Modern datasets often encompass a vast number of…
stat.ML2023
Constrained Reweighting of Distributions: an Optimal Transport Approach
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
We commonly encounter the problem of identifying an optimally weight adjusted version of the empirical distribution of observed data, adhering to predefined constraints on the weig…
stat.CO2023
Scalable Model-Based Gaussian Process Clustering
Anirban Chakraborty, Abhisek Chakraborty
Gaussian process is an indispensable tool in clustering functional data, owing to it's flexibility and inherent uncertainty quantification. However, when the functional data is obs…