490 citations · 3.5k across the 123 of their papers we have counts for
8 papers · 1 filter
Interactive rank testing by betting
Boyan Duan, Aaditya Ramdas, Larry Wasserman
In order to test if a treatment is perceptibly different from a placebo in a randomized experiment with covariates, classical nonparametric tests based on ranks of observations/res…
Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension
Arun Kumar Kuchibhotla, Alessandro Rinaldo, Larry Wasserman
We provide finite sample bounds on the Normal approximation to the law of the least squares estimator of the projection parameters normalized by the sandwich-based standard errors.…
The huge Package for High-dimensional Undirected Graph Estimation in R
Tuo Zhao, Han Liu, Kathryn Roeder +2
We describe an R package named huge which provides easy-to-use functions for estimating high dimensional undirected graphs from data. This package implements recent results in the…
Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning"
Edward H. Kennedy, Sivaraman Balakrishnan, Larry A. Wasserman
We congratulate the authors on their exciting paper, which introduces a novel idea for assessing the estimation bias in causal estimates. Doubly robust estimators are now part of t…
Minimax optimality of permutation tests
Ilmun Kim, Sivaraman Balakrishnan, Larry Wasserman
Permutation tests are widely used in statistics, providing a finite-sample guarantee on the type I error rate whenever the distribution of the samples under the null hypothesis is…
Familywise Error Rate Control by Interactive Unmasking
Boyan Duan, Aaditya Ramdas, Larry Wasserman
We propose a method for multiple hypothesis testing with familywise error rate (FWER) control, called the i-FWER test. Most testing methods are predefined algorithms that do not al…