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Contributed Papers

Advances in High-Dimensional Hypothesis Testing and Debiased Inference

Mon, Aug 3, 10:30 AM - 12:20 PM Room CC-254B Thomas M. Menino Convention & Exhibition Center

Yuqi GuChair

IMS

6 Presentations

Betting on Bets: Anytime-Valid Tests for Stochastic Dominance

10:35 AM - 10:50 AM

Yo Joong Choe (INSEAD)

Co-authors: Sebastian Arnold (CWI Amsterdam), Marco Scarsini (Luiss University), Ilia Tsetlin (INSEAD)

Stochastic dominance E-value Anytime-validity Sequential Inference Decision theory

Competition-based testing with compound p-values and e-values

10:50 AM - 11:05 AM

Junu Lee (University of Pennsylvania)

Co-authors: Zhimei Ren, Rina Barber, Richard Samworth (University of Cambridge)

Multiple hypothesis testing False discovery rate Knockoffs e-values

High-Order Debiasing for Smooth Functional Estimation in Banach Spaces

11:05 AM - 11:20 AM

Woonyoung Chang (Carnegie Mellon University)

Co-authors: Arun Kuchibhotla (Carnegie Mellon University)

High-order debiasing Banach space mean estimation Semiparametric efficiency Sample splitting Precision matrix estimation Linear regression functionals

Linear Functional Testing with General Loadings in Sparse Regression: Separation Rates and Computational Barriers

11:20 AM - 11:35 AM

Jie Xie (National University of Singapore)

Co-authors: Dongming Huang (National University of Singapore)

Linear hypothesis testing high-dimensional linear regression sparsity-adaptive testing minimaxity computational barrier low-degree polynomial method

Optimally adaptive test for high dimensional hypotheses via minimax deficiency

11:35 AM - 11:50 AM

Co-authors: Song Chen (Tsinghua University), Yumou Qiu (Peking University)

detection boundary high dimensionality minimax optimality power enhancement

Power of masking methods for adaptive testing in a multivariate normal means problem

11:50 AM - 12:05 PM

Eugene Katsevich

Co-authors: Abhinav Chakraborty (Columbia University), Junu Lee (University of Pennsylvania)

Empirical Bayes False discovery rate Learn-then-test Multiple testing Multivariate normal means Power analysis

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