117 citations · 401 across the 23 of their papers we have counts for
23 papers
Further Results on Controlling the False Discovery Rate in Two-Sided Gaussian Mean Testing
Deepra Ghosh, Sanat K. Sarkar
The recent work of Sarkar and Zhang (2025) introduced Positive Tail Dependence Under the Null (PTDN) and developed Generalized Shifted Benjamini-Hochberg (BH) procedures for two-si…
Dependence-Aware False Discovery Rate Control in Two-Sided Gaussian Mean Testing
Deepra Ghosh, Sanat K. Sarkar
This paper develops a general framework for controlling the false discovery rate (FDR) in multiple testing of Gaussian means against two-sided alternatives. The widely used Benjami…
On Controlling the False Discovery Rate in Multiple Testing of the Means of Correlated Normals Against Two-Sided Alternatives
Sanat K. Sarkar
This paper revisits the following open question in simultaneous testing of multivariate normal means against two-sided alternatives: Can the method of Benjamini and Hochberg (BH, 1…
Large-Scale Multiple Testing for Matrix-Valued Data under Double Dependency
Xu Han, Sanat Sarkar, Shiyu Zhang
High-dimensional inference based on matrix-valued data has drawn increasing attention in modern statistical research, yet not much progress has been made in large-scale multiple te…
Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses
Shinjini Nandi, Sanat K. Sarkar
In this article, we propose a generalized weighted version of the well-known Benjamini-Hochberg (BH) procedure. The rigorous weighting scheme used by our method enables it to encod…
Adjusting the Benjamini-Hochberg method for controlling the false discovery rate in knockoff assisted variable selection
Sanat K. Sarkar, Cheng Yong Tang
The knockoff-based multiple testing setup of Barber & Candes (2015) for variable selection in multiple regression where sample size is as large as the number of explanatory variabl…