3 papers
stat.ME2026
Variational Bayes and Truncation approximations for Enriched Dirichlet process mixtures
Somnath Bhadra, Michael J. Daniels
A common impediment in conducting inference for Bayesian nonparametric models is either the need for complex MCMC algorithms and/or computational run-time for large datasets. We pr…
stat.ME2019
A Bootstrap-based Method for Testing Network Similarity
Somnath Bhadra, Kaustav Chakraborty, Srijan Sengupta +1
This paper studies the matched network inference problem, where the goal is to determine if two networks, defined on a common set of nodes, exhibit a specific form of stochastic si…
math.ST2019
Density Power Downweighting and Robust Inference: Some New Strategies
Saptarshi Roy, Kaustav Chakraborty, Somnath Bhadra +1
Preserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness…