collaborators

5 papers

stat.ME2026

Estimating the local false discovery rate under an unknown symmetric null

Daniel Xiang, William Fithian, Nikolaos Ignatiadis +2

This paper is concerned with estimating the local false discovery rate (lfdr) in a two-groups model where the only assumption regarding the null distribution is symmetry about zero…

math.ST2026

Posterior consistency of Pólya trees for deconvolution under the linear model

Nakul Shenoy, Asaf Weinstein

Several recent works have addressed the problem of deconvolution under a linear model, where the goal is to estimate a completely unknown from a vector of noisy observations…

math.ST2026

On the Minimum Attainable Risk in Permutation Invariant Problems

Asaf Weinstein

We introduce a broad class of permutation invariant problems by extending the standard decision theoretic definition to allow also selective inference tasks, where the target is sp…

math.ST2026

Empirical Bayes Variable Selection with Lasso Statistics in the AMP Framework

Lina Hidmi, Asaf Weinstein

The Lasso is one of the most ubiquitous methods for variable selection in high-dimensional linear regression and has been studied extensively under different regimes. In a particul…

stat.ME2025

Nonparametric Shrinkage Estimation in High Dimensional Generalized Linear Models via Polya Trees

Asaf Weinstein, Jonas Wallin, Daniel Yekutieli +1

Regularization in fitting regression models has been a highly active topic of research in the past few decades, but most of the existing methods are designed for particular situati…