most citedNonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 3 cited

Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals

Junhui Cai, Xu Han, Ya'acov Ritov +1

Large-scale modern data often involves estimation and testing for high-dimensional unknown parameters. It is desirable to identify the sparse signals, ``the needles in the haystack…

math.ST2019

All of Linear Regression

Arun K. Kuchibhotla, Lawrence D. Brown, Andreas Buja +1

Least squares linear regression is one of the oldest and widely used data analysis tools. Although the theoretical analysis of the ordinary least squares (OLS) estimator is as old,…