302 citations · 1.2k across the 59 of their papers we have counts for
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Empirical partially Bayes multiple testing and compound decisions
Nikolaos Ignatiadis, Bodhisattva Sen
A common task in high-throughput biology is to screen for associations across thousands of units of interest, e.g., genes or proteins. Often, the data for each unit are modeled as…
A Kernel Measure of Dissimilarity between Distributions
Zhen Huang, Bodhisattva Sen
Given distributions defined on a general measurable space, we introduce a nonparametric (kernel) measure of multi-sample dissimilarity (KMD) -- a parameter that quantifi…
Permuted and Unlinked Monotone Regression in : an approach based on mixture modeling and optimal transport
Martin Slawski, Bodhisattva Sen
Suppose that we have a regression problem with response variable Y in and predictor X in , for . In permuted or unlinked regression we have a…
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood
Jake A. Soloff, Adityanand Guntuboyina, Bodhisattva Sen
Multivariate, heteroscedastic errors complicate statistical inference in many large-scale denoising problems. Empirical Bayes is attractive in such settings, but standard parametri…
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
Nabarun Deb, Promit Ghosal, Bodhisattva Sen
Optimal transport maps between two probability distributions and on have found extensive applications in both machine learning and statistics. In practice, t…
Pitman Efficiency Lower Bounds for Multivariate Distribution-Free Tests Based on Optimal Transport
Nabarun Deb, Bhaswar B. Bhattacharya, Bodhisattva Sen
Distribution-free tests such as the Wilcoxon rank sum test are popular for testing the equality of two univariate distributions. Among the important reasons for their popularity ar…