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math.ST2022
Empirical Bayes estimation: When does -modeling beat -modeling in theory (and in practice)?
Yandi Shen, Yihong Wu
Empirical Bayes (EB) is a popular framework for large-scale inference that aims to find data-driven estimators to compete with the Bayesian oracle that knows the true prior. Two pr…
math.ST2022★ 1 cited
Universality of regularized regression estimators in high dimensions
Qiyang Han, Yandi Shen
The Convex Gaussian Min-Max Theorem (CGMT) has emerged as a prominent theoretical tool for analyzing the precise stochastic behavior of various statistical estimators in the so-cal…