Imagen de Portada

A model-free Screening procedure

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dedecker, J, Taupin, M L, Tocquet, A S
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Asymptotic confidence interval for R2 in multiple linear regression
por: Dedecker, J, et al.
Publicado: (2024)

Estimation of Conformal Metrics
por: Taupin, Jérôme
Publicado: (2026)

Fermat Distance-to-Measure: a robust Fermat-like metric
por: Taupin, Jérôme, et al.
Publicado: (2025)

Location- and scale-free procedures for distinguishing between distribution tail models
por: Rodionov, Igor
Publicado: (2023)

Revisiting the Langlie procedure
por: Christensen, Dennis
Publicado: (2024)

A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
por: Bucci, Andrea
Publicado: (2024)

Power comparison of sequential testing by betting procedures
por: Durand, Amaury, et al.
Publicado: (2025)

Testing common structure in high-dimensional factor models: change-point and two-sample procedures
por: Düker, Marie-Christine, et al.
Publicado: (2024)

Valid model-free spatial prediction
por: Mao, Huiying, et al.
Publicado: (2020)

Decision theory via model-free generalized fiducial inference
por: Williams, Jonathan P, et al.
Publicado: (2024)

Sequential Correct Screening and Post-Screening Inference
por: Toyoda, Masaki, et al.
Publicado: (2025)

Quasi-Bayes properties of a recursive procedure for mixtures
por: Fortini, Sandra, et al.
Publicado: (2019)

Minimax convergence rates of a binary classification procedure for time-homogeneous SDE paths
por: Mintsa, Eddy Michel Ella
Publicado: (2025)

Are all models wrong? Fundamental limits in distribution-free empirical model falsification
por: Müller, Manuel M., et al.
Publicado: (2025)

Anytime-valid FDR control with the stopped e-BH procedure
por: Wang, Hongjian, et al.
Publicado: (2025)

The Root Finding Problem Revisited: Beyond the Robbins-Monro procedure
por: Yu, Yue, et al.
Publicado: (2025)

Bringing closure to FDR control: beating the e-Benjamini-Hochberg procedure
por: Xu, Ziyu, et al.
Publicado: (2025)

A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
por: Park, Joonha, et al.
Publicado: (2026)

An improved nonparametric test and sample size procedures for the randomized complete block designs
por: Jan, Show-Li, et al.
Publicado: (2025)

Tiny but uniform improvements of adaptive BH procedures via compound e-values
por: Ignatiadis, Nikolaos, et al.
Publicado: (2026)

Estimates of MM type for the multivariate linear model
por: Kudraszow, Nadia L., et al.
Publicado: (2010)

Improving online FDR procedures via online analogs of e-closure and compound e-values
por: Xu, Ziyu, et al.
Publicado: (2026)

Likelihood-free hypothesis testing
por: Gerber, Patrik Róbert, et al.
Publicado: (2022)

Minimax convergence rates of a binary plug-in type classification procedure for time-homogeneous SDE paths under low-noise conditions
por: Ella-Mintsa, Eddy Michel
Publicado: (2026)

Nonparametric, tuning-free estimation of S-shaped functions
por: Feng, Oliver Y., et al.
Publicado: (2021)

HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
por: Pathak, Kumarjit
Publicado: (2026)

Connecting model-based and model-free approaches to linear least squares regression
por: Duembgen, Lutz, et al.
Publicado: (2018)

A scale-free density bound for Gaussian maxima
por: Vijaykumar, Suhas
Publicado: (2026)

Dimension-free Bounds for Covariance Estimation with Tensor-Train Structure
por: Patarusau, Artsiom, et al.
Publicado: (2025)

Distribution-free tests for lossless feature selection in classification and regression
por: Györfi, László, et al.
Publicado: (2023)

Optimal tuning-free convex relaxation for noisy matrix completion
por: Yang, Yuepeng, et al.
Publicado: (2022)

Dimension-free error estimate for diffusion model and optimal scheduling
por: de Bortoli, Valentin, et al.
Publicado: (2025)

Pooling information in likelihood-free inference
por: Frazier, David T., et al.
Publicado: (2022)

Robustness for free: asymptotic size and power of max-tests in high dimensions
por: Kock, Anders Bredahl, et al.
Publicado: (2026)

Consistency of Bayes factors for linear models
por: Moreno, Elías, et al.
Publicado: (2025)

Bagging Provides Assumption-free Stability
por: Soloff, Jake A., et al.
Publicado: (2023)

Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
por: Sadhukhan, Tathagata, et al.
Publicado: (2024)

Distribution-free inference with hierarchical data
por: Lee, Yonghoon, et al.
Publicado: (2023)

Dimension-free Bounds for Sum of Dependent Matrices and Operators with Heavy-Tailed Distribution
por: Nakakita, Shogo, et al.
Publicado: (2022)

Algorithmic stability implies training-conditional coverage for distribution-free prediction methods
por: Liang, Ruiting, et al.
Publicado: (2023)