Webknockoff filter scheme, called Error-based Knockoffs Infer-ence (E-Knockoff), for controlled feature selection based on the error-based feature statistics. The main contributions of this paper are summarized as below: Error-based knockoffs inference. Our model integrates the knockoff features (Candes et al. 2024), the error-` WebNov 12, 2024 · Bayesian Knockoff Generators for Robust Inference Under Complex Data Structure 11/12/2024 ∙ by Michael J. Martens, et al. ∙ 0 ∙ share The recent proliferation of medical data, such as genetics and electronic health records (EHR), offers new opportunities to find novel predictors of health outcomes.
Robust inference with knockoffs - arXiv
WebJan 11, 2024 · This paper develops an exact and efficient algorithm to sample knockoff copies of an HMM, and argues that combined with the knockoffs selective framework, … WebMay 25, 2024 · We propose a stable inference procedure integrating multiple knockoffs that significantly improves the stability and reproducibility of the results compared with state … bondereduc
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
WebSequoia Hall 390 Jane Stanford Way Stanford, CA 94305-4020 Campus Map WebJun 28, 2024 · Robust inference with knockoffs. Article. Jan 2024; ANN STAT; Richard J. Samworth; Rina Foygel Barber; Emmanuel J. Candès; We consider the variable selection problem, which seeks to identify ... WebNov 12, 2024 · Knockoff filtering is an innovative strategy for FDR-controlled feature selection. But, existing knockoff methods make strong distributional assumptions that … goal in my life