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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. 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 …

Robust inference with knockoffs (Journal Article) NSF …

WebRobust inference with knockoffs Rina Foygel Barber∗ Emmanuel J. Candès† Richard J. Samworth‡ October 11, 2024 Abstract We consider the variable selection problem, which seeks to identify important variables influencing a response Y out of many candidate features X1,...,X p. We wish to do so while offering finite-sample WebThe knockoff filter is introduced, a new variable selection procedure controlling the FDR in the statistical linear model whenever there are at least as many observations as variables, … barisdale https://plumsebastian.com

Robust inference with knockoffs. - Researcher An App For …

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: WebPerformance 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 … suzuki baleno automatic transmission problems

Robust inference with knockoffs - arXiv

Category:Identification of putative causal loci in whole-genome ... - Nature

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Robust inference with knockoffs

[1903.00434] Metropolized Knockoff Sampling - arXiv.org

WebThis model selection procedure operates by constructing “knockoff copies” of each of the p p features, which are then used as a control group to ensure that the model selection … 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, …

Robust inference with knockoffs

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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 …

WebBayesian Knockoff Generators for Robust Inference Under Complex Data StructureA PREPRINT the sample size (p n). A subsequent development (Candes et al., 2024) generates knockoffs randomly... 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...

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 ... WebNov 12, 2024 · Knockoff filtering is an innovative strategy for FDR-controlled feature selection. But, existing knockoff methods make strong distributional assumptions that hinder their applicability to...

WebWe next introduce our framework of DeepLINK, a deep learning–based statistical inference framework using knockoffs. It consists of two parts: 1) an autoencoder network for the …

WebJan 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 … barisdam kortemarkWebJan 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 … suzuki baleno automatic price in keralaWebknockoff 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-` suzuki baleno automatic reviewWebFeb 11, 2024 · task dataset model metric name metric value global rank remove baris colakWebMar 1, 2024 · This paper introduces techniques for knockoff generation in great generality: we provide a sequential characterization of all possible knockoff distributions, which leads to a Metropolis-Hastingsformulation of an exact knockoff sampler. We further show how to use conditional independence structure to speed up computations. suzuki baleno automaticoWebIn this paper, we provide theoretical foundations on the power and robustness for the model-X knockoffs procedure introduced recently in … RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs J Am Stat Assoc. 2024;115(529):362-379. doi: 10.1080/01621459.2024.1546589. Epub 2024 Apr 11. Authors ... baris dammahWebWe consider the variable selection problem, which seeks to identify important variables influencing a response $Y$ out of many candidate fea baris dalam tabel periodik menunjukkan