Robust inference with knockoffs
WebDec 18, 2024 · The framework of model-X knockoffs provides a flexible tool for exact finite-sample false discovery rate (FDR) control in variable selection. It also completely bypasses the use of conventional p-values, making it especially appealing in high-dimensional nonlinear models.
Robust inference with knockoffs
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WebThe model-X knockoff framework is therefore robust to errors in the underlying assumptions on the distribution of $X$, making it an effective method for many practical applications, … WebNov 12, 2024 · Knockoff filtering is an innovative strategy for FDR-controlled feature selection. But, existing knockoff methods make strong distributional assumptions that …
WebMay 22, 2024 · The core idea is that knockoff-based inference can be applied on groups (clusters) of voxels, which drastically reduces the problem’s dimension; an ensembling step then removes the dependence... WebFeb 10, 2016 · This paper develops an exact and efficient algorithm to sample knockoff copies of an HMM, and argues that combined with the knockoffs selective framework, they provide a natural and powerful tool for performing principled inference in genome-wide association studies with guaranteed FDR control. 39 PDF View 3 excerpts, cites methods …
WebJun 1, 2024 · Robust inference with knockoffs Citation Details Title: Robust inference with knockoffs Authors: Barber, Rina Foygel; Candès, Emmanuel J.; Samworth, Richard J. Award ID(s): 1712800 Publication Date: 2024-06-01 NSF-PAR ID: 10205961 Journal Name: Annals of Statistics Volume: 48 Issue: 3 Page Range or eLocation-ID: WebA knockoff filter for high-dimensional selective inference. RF Barber, EJ Candès. arXiv preprint arXiv:1602.03574, 2016. 152: ... Robust inference with knockoffs. RF Barber, EJ Candès, RJ Samworth. 96: 2024: Global identifiability of linear structural equation models. M Drton, R Foygel, S Sullivant. 93:
WebNov 12, 2024 · Bayesian Knockoff Generators for Robust Inference Under Complex Data Structure. The recent proliferation of medical data, such as genetics and electronic health …
WebRobust inference with the knockoff filter. In this talk, I will present ongoing work on the knockoff filter for inference in regression. In a high-dimensional model selection problem, we would like to select relevant features without too many false positives. The knockoff filter provides a tool for model selection by creating knockoff copies of ... hypocalcemia physiologyWebSequoia Hall 390 Jane Stanford Way Stanford, CA 94305-4020 Campus Map hypocalcemia patient educationWebJan 11, 2024 · As a novel feature filter scheme, the knockoffs inference has solid theoretical foundations and shows the competitive performance in real-word applications (Barber … hypocalcemia rashWebJan 11, 2024 · We now present our guarantee for robust error control with the model-X knockoffs filter. Theorem 1. Under the definitions above, for any ϵ≥0, consider the null … hypocalcemia reviewWebWe develop a method for deep learning inference using knockoffs, DeepLINK, to achieve the goal of variable selection with controlled error rate in deep learning models. We show that DeepLINK can also have high power in variable selection with a … hypocalcemia rchtWebPerformance in terms of false discovery rate, FDR, and power of the multi-environment knockoff filter, MEKF, implemented with joint and separate statistics, compared with the intersection and pooled heuristics for consistent conditional testing on simulated data from many environments, applied to (a) data in which most conditional associations are … hypocalcemia shortness of breathWebJun 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 ... hypocalcemia physical signs