2 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.ME2025
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…