Cover Image

Improving knockoffs with conditional calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Yixiang, Fithian, William, Lei, Lihua
Format:	Preprint
Published:	2022
Subjects:	Methodology 62H15 (Primary), 62J15 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Covariance Correction for Permutation Statistics in Multiple Testing Problems
by: Munko, Merle, et al.
Published: (2026)

Estimating the False Discovery Rate of Variable Selection
by: Luo, Yixiang, et al.
Published: (2024)

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
by: Gerard, David, et al.
Published: (2017)

Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
by: Hawila, Nour, et al.
Published: (2024)

Variance component mixture modelling for longitudinal T-cell receptor clonal dynamics
by: Swanson, David, et al.
Published: (2025)

Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
by: Momozaki, Tomotaka, et al.
Published: (2023)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
by: Westphal, Max
Published: (2019)

Bayesian measures of leverage and influence
by: Plummer, Martyn
Published: (2025)

Finding Groups of Cross-Correlated Features in Bi-View Data
by: Dewaskar, Miheer, et al.
Published: (2020)

A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
by: Hur, Yongseok, et al.
Published: (2025)

Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)

Projection predictive variable selection for discrete response families with finite support
by: Weber, Frank, et al.
Published: (2023)

Optimal Design in Repeated Testing for Count Data
by: Parsamaram, Parisa, et al.
Published: (2024)

Group Permutation Testing in Linear Model: Sharp Validity, Power Improvement, and Extension Beyond Exchangeability
by: Li, Zonghan, et al.
Published: (2026)

On Testing Kronecker Product Structure in Tensor Factor Models
by: Cen, Zetai, et al.
Published: (2025)

Identification and Estimation of Multi-order Tensor Factor Models
by: Cen, Zetai
Published: (2025)

A penalized online sequential test of heterogeneous treatment effects for generalized linear models
by: Fang, Zhiqing, et al.
Published: (2024)

Online Generalized Method of Moments for Time Series
by: Leung, Man Fung, et al.
Published: (2025)

Family-wise Error Rate Control with E-values
by: Hartog, Will, et al.
Published: (2025)

Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces
by: Gnettner, Felix, et al.
Published: (2023)

Simultaneous Detection and Localization of Mean and Covariance Changes in High Dimensions
by: Cui, Junfeng, et al.
Published: (2025)

Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)

Extreme value theory for singular subspace estimation in the matrix denoising model
by: Chang, Junhyung, et al.
Published: (2025)

Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
by: Bergh, Don van den, et al.
Published: (2022)

Regression Analysis After Bipartite Bayesian Record Linkage
by: Hu, Xueyan, et al.
Published: (2025)

Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
by: Kitagawa, Genshiro
Published: (2026)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
by: Lee, JoonHo
Published: (2026)

A Bayesian approach to functional regression: theory and computation
by: Berrendero, José R., et al.
Published: (2023)

Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)

Assessment of the quality of a prediction
by: Sewell, Roger
Published: (2024)

Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
by: Kaurila, Karel, et al.
Published: (2022)

Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
by: Kaurila, Karel, et al.
Published: (2024)

Score function-based tests for ultrahigh-dimensional linear models
by: Yang, Weichao, et al.
Published: (2022)

Air-HOLP: Adaptive Regularized Feature Screening for High Dimensional Correlated Data
by: Joudah, Ibrahim, et al.
Published: (2024)

A new way to evaluate G-Wishart normalising constants via Fourier analysis
by: Wong, Ching, et al.
Published: (2024)

Many-sample tests for the dimensionality hypothesis for large covariance matrices among groups
by: Mei, Tianxing, et al.
Published: (2026)

Online Spectral Density Estimation
by: Kazi, Shahriar Hasnat, et al.
Published: (2025)

A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)

Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)

High-Dimensional Change-Point Detection via Angular Kernel Statistics
by: Choudhury, Jyotishka Ray, et al.
Published: (2026)