3 citations · 5 across the 12 of their papers we have counts for
4 papers · 1 filter
Robust Estimation for Dependent Binary Network Data
Tianyu Liu, Somabha Mukherjee, Abhik Ghosh
We consider the problem of learning the interaction strength between the nodes of a network based on dependent binary observations residing on these nodes, generated from a Markov…
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
Tianyu Liu, Somabha Mukherjee
In this paper, we study two well known methods of Ising structure learning, namely the pseudolikelihood approach and the interaction screening approach, in the context of tensor re…
Distribution-Free Multisample Test Based on Optimal Matching with Applications to Single Cell Genomics
Divyansh Agarwal, Somabha Mukherjee, Bhaswar Bikram Bhattacharya +1
In this paper we propose a nonparametric graphical test based on optimal matching, for assessing the equality of multiple unknown multivariate probability distributions. Our proced…
Statistical Inference based on Bridge Divergences
Arun Kumar Kuchibhotla, Somabha Mukherjee, Ayanendranath Basu
M-estimators offer simple robust alternatives to the maximum likelihood estimator. Much of the robustness literature, however, has focused on the problems of location, location-sca…