WebDec 12, 2024 · ROBUST INFERENCE. \it Elvezio Ronchetti [1] Professor, Department of Econometrics. University of Geneva, CH-1211 Geneva, Switzerland. The primary goal of robust statistics is the development of procedures which are still reliable and reasonably efficient under small deviations from the model, i.e. when the underlying distribution lies … WebJul 17, 2024 · The knockoff procedure is a recent breakthrough in statistics that, in theory, can identify truly correlated features while guaranteeing that the false discovery is limited. The idea is to create synthetic data -knockoffs- that …
DeepLINK: Deep learning inference using knockoffs with ... - PNAS
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 … 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-` indy clutch and joint
Robust inference with knockoffs - ResearchGate
WebWe 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 … 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 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. indy clowns of the negro leagues