Imagen de Portada

Model-free Feature Screening via Revised Chatterjee's Rank Correlation for Ultra-high Dimensional Censored Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Shuya, Peng, Heng, Zhou, Min
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data
por: Pak, Daewoo, et al.
Publicado: (2024)

A Simple Bias Reduction for Chatterjee's Correlation
por: Dalitz, Christoph, et al.
Publicado: (2023)

On the epsilon-delta Structure Underlying Chatterjee's Rank Correlation
por: Sato, Zeusu
Publicado: (2025)

On the extensions of the Chatterjee-Spearman test
por: Zhang, Qingyang
Publicado: (2024)

Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
por: Pang, Naiwen, et al.
Publicado: (2024)

Conformal Survival Bands for Risk Screening under Right-Censoring
por: Sesia, Matteo, et al.
Publicado: (2025)

Global Censored Quantile Random Forest
por: Zhou, Siyu, et al.
Publicado: (2024)

Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
por: Zhou, Shuya, et al.
Publicado: (2026)

Rank Intraclass Correlation for Clustered Data
por: Tu, Shengxin, et al.
Publicado: (2023)

Asymptotic Distribution-free Change-point Detection for Modern Data Based on a New Ranking Scheme
por: Zhou, Doudou, et al.
Publicado: (2022)

Semi-supervised Method for Risk Prediction with Doubly Censored EHR Data
por: Zhou, Jie, et al.
Publicado: (2026)

Post-Selection Inference for the Cox Model with Interval-Censored Data
por: Zhang, Jianrui, et al.
Publicado: (2023)

Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
por: Li, Daoji, et al.
Publicado: (2023)

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

Multicalibration for Modeling Censored Survival Data with Universal Adaptability
por: Ye, Hanxuan, et al.
Publicado: (2024)

Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
por: Wang, Xuan, et al.
Publicado: (2024)

Two-Stage Least Squares Instrumental Variable Estimation for Semiparametric Accelerated Failure Time Models with Right-Censored Data
por: Zhuang, Zian, et al.
Publicado: (2025)

Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear Models
por: Parzer, Roman, et al.
Publicado: (2024)

Bias correction for Chatterjee's graph-based correlation coefficient
por: Azadkia, Mona, et al.
Publicado: (2025)

R-Estimation with Right-Censored Data
por: Satten, Glen A., et al.
Publicado: (2026)

Cox Model Predicting Covariate Subject to Right Censoring
por: Lin, Chen-Yen, et al.
Publicado: (2026)

A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
por: Tan, Falong, et al.
Publicado: (2024)

Robust Evaluation of Longitudinal Surrogate Markers with Censored Data
por: Agniel, Denis, et al.
Publicado: (2024)

Functional Principal Component Analysis for Sparse Censored Data
por: Murphy, Caitrin, et al.
Publicado: (2024)

A multivariate extension of Azadkia-Chatterjee's rank coefficient
por: Huang, Wenjie, et al.
Publicado: (2025)

Likelihood-Based Regression for Weibull Accelerated Life Testing Model Under Censored Data
por: Konar, Rahul, et al.
Publicado: (2026)

Robust Bayesian Inference for Censored Survival Models
por: Hamura, Yasuyuki, et al.
Publicado: (2025)

Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
por: Wang, Jiantong, et al.
Publicado: (2024)

Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
por: Chen, Jialuo, et al.
Publicado: (2025)

Finite Mixture Cox Model for Heterogeneous Time-dependent Right-Censored Data
por: Talafha, Ahmad
Publicado: (2025)

Rank-Transformed Dissimilarity Profiles for High-Dimensional Classification
por: Mo, Xiangbo, et al.
Publicado: (2023)

Novel Subsampling Strategies for Heavily Censored Reliability Data
por: Ruan, Yixiao, et al.
Publicado: (2024)

On exact regions between measures of concordance and Chatterjee's rank correlation for lower semilinear copulas
por: Fuchs, Sebastian, et al.
Publicado: (2025)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
por: Guo, Wanru, et al.
Publicado: (2026)

A Model for Censored Reliability Data with Two Dependent Failure Modes and Prediction of Future Failures
por: Agrawal, Aakash, et al.
Publicado: (2022)

Deep Partially Linear Transformation Model for Right-Censored Survival Data
por: Yin, Junkai, et al.
Publicado: (2024)

Robust Estimation of Loss Models for Truncated and Censored Severity Data
por: Poudyal, Chudamani, et al.
Publicado: (2022)

Training-Set Conditionally Valid Prediction Sets with Right-Censored Data
por: Si, Wenwen, et al.
Publicado: (2025)

Detecting Distributional Differences in Spatially Correlated Multivariate Data via Kernel-Smoothed Rank-Based Empirical Copula Tests
por: Mandap, Marco
Publicado: (2026)

Meta-analysis of Censored Adverse Events
por: Qi, Xinyue, et al.
Publicado: (2021)