19 citations · 42 across the 13 of their papers we have counts for
4 papers · 1 filter
Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences From Diverse Sources
Trambak Banerjee, Bowen Gang, Jianliang He
We introduce an Integrative Ranking and Thresholding (IRT) framework for fusing evidence from multiple testing procedures. The key innovation is a method that transforms binary tes…
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
Jiajun Luo, Trambak Banerjee, Gourab Mukherjee +1
We investigate the problem of compound estimation of normal means while accounting for the presence of side information. Leveraging the empirical Bayes framework, we develop a nonp…
Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity
Bowen Gang, Trambak Banerjee
Heteroskedasticity poses several methodological challenges in designing valid and powerful procedures for simultaneous testing of composite null hypotheses. In particular, the conv…
Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity
Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee
Nonparametric two-sample testing is a classical problem in inferential statistics. While modern two-sample tests, such as the edge count test and its variants, can handle multivari…