Image de couverture de livre

Can linear algebra create perfect knockoffs?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hemmens, Christopher, Robert-Nicoud, Stephan
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Variable selection via knockoffs for clustered data
par: Bacci, Silvia, et autres
Publié: (2026)

Second-order group knockoffs with applications to GWAS
par: Chu, Benjamin B, et autres
Publié: (2023)

Network knockoffs: controlling false discovery in dyadic space
par: Van Ee, Justin, et autres
Publié: (2026)

Variable selection via knockoffs in missing data settings with categorical predictors
par: Bacci, Silvia, et autres
Publié: (2025)

Choosing the nominal level post-hoc with knockoffs using e-values
par: Fischer, Lasse, et autres
Publié: (2025)

Catch me if you can: Signal localization with knockoff e-values
par: Gablenz, Paula, et autres
Publié: (2023)

Simultaneous false discovery proportion bounds via knockoffs and closed testing
par: Li, Jinzhou, et autres
Publié: (2022)

Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values
par: Chang, Jinyuan, et autres
Publié: (2025)

One-at-a-time knockoffs: controlled false discovery rate with higher power
par: Guan, Charlie K., et autres
Publié: (2025)

Improving knockoffs with conditional calibration
par: Luo, Yixiang, et autres
Publié: (2022)

Functional knockoffs selection with applications to functional data analysis in high dimensions
par: Qiao, Xinghao, et autres
Publié: (2024)

Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
par: Zhao, Qian, et autres
Publié: (2025)

Near-perfect Clustering Based on Recursive Binary Splitting Using Max-MMD
par: Chakrabarty, Sourav, et autres
Publié: (2025)

Davis-Kahan Theorem in the two-to-infinity norm and its application to perfect clustering
par: Pensky, Marianna
Publié: (2024)

Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
par: Biswas, Aniket, et autres
Publié: (2026)

On perfect sampling: ROCFTP with Metropolis-multishift coupler
par: Nabipoor, Majid
Publié: (2025)

Assessing Bayes factor surfaces using interactive visualization and computer surrogate modeling
par: Franck, Christopher T., et autres
Publié: (2018)

Dynamic linear regression models for forecasting time series with semi long memory errors
par: Goodwin, Thomas, et autres
Publié: (2024)

Contrastive linear regression
par: Zhang, Boyang, et autres
Publié: (2024)

Calibrated Generalized Bayesian Inference
par: Frazier, David T., et autres
Publié: (2023)

Piece-wise linear isotonic regression
par: Kuosmanen, Timo, et autres
Publié: (2026)

Posterior shrinkage towards linear subspaces
par: Sewell, Daniel K.
Publié: (2024)

Multiple testing using uniform filtering of ordered p-values
par: Jiang, Zhiwen, et autres
Publié: (2024)

Piecewise-linear modeling of multivariate geometric extremes
par: Campbell, Ryan, et autres
Publié: (2024)

Testing linear combinations of multiple variance components
par: Stringer, Alex, et autres
Publié: (2026)

Robust confidence intervals for generalized linear models
par: Panarotto, Andrea, et autres
Publié: (2026)

Adapting to noise tails in private linear regression
par: Chang, Jinyuan, et autres
Publié: (2026)

Distributed variable screening for generalized linear models
par: Diao, Tianbo, et autres
Publié: (2024)

Sparse High-Dimensional Vector Autoregressive Bootstrap
par: Adamek, Robert, et autres
Publié: (2023)

High-dimensional partial linear model with trend filtering
par: Lee, Sang Kyu, et autres
Publié: (2024)

Modeling trajectories using functional linear differential equations
par: Wrobel, Julia, et autres
Publié: (2024)

The projected dynamic linear model for time series on the sphere
par: Zito, John, et autres
Publié: (2023)

Shrinkage linear regression for symbolic interval-valued variables
par: Rodriguez, Oldemar
Publié: (2024)

Goodness-of-fit testing for the error distribution in functional linear models
par: Neumeyer, Natalie, et autres
Publié: (2025)

Scalable Bayesian inference on high-dimensional multivariate linear regression
par: Cao, Xuan, et autres
Publié: (2025)

Causal generalized linear models via Pearson risk invariance
par: Polinelli, Alice, et autres
Publié: (2024)

Optimal design of experiments for functional linear models with dynamic factors
par: May, Caterina, et autres
Publié: (2024)

A geometric power analysis for general log-linear models
par: Klimova, Anna
Publié: (2023)

Bayesian iterative screening in ultra-high dimensional linear regressions
par: Wang, Run, et autres
Publié: (2021)

Bayesian non-linear subspace shrinkage using horseshoe priors
par: Duda, Julia Christin, et autres
Publié: (2024)