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20162020
most citedA Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs

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

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Showing 2018Show all

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math.ST2018

Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional and Multinomial Data

Miles E. Lopes, Zhenhua Lin, Hans-Georg Mueller

In recent years, bootstrap methods have drawn attention for their ability to approximate the laws of "max statistics" in high-dimensional problems. A leading example of such a stat…

stat.ML2018

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap

Miles E. Lopes, Shusen Wang, Michael W. Mahoney

Over the course of the past decade, a variety of randomized algorithms have been proposed for computing approximate least-squares (LS) solutions in large-scale settings. A longstan…