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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
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…