Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index
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Publication:5040534
DOI10.1080/00949655.2022.2062358OpenAlexW4223958115MaRDI QIDQ5040534
Ying Yang, Weidong Ma, Jingsong Xiao, Fei Ye
Publication date: 17 October 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2022.2062358
sure screening propertyfeature screeningslicing methodranking consistency propertyultrahigh dimensional data
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- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- Robust rank correlation based screening
- Censored mean variance sure independence screening for ultrahigh dimensional survival data
- Fused mean-variance filter for feature screening
- Adjusted Pearson chi-square feature screening for multi-classification with ultrahigh dimensional data
- Weak convergence and empirical processes. With applications to statistics
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Feature screening for ultrahigh dimensional categorical data with covariates missing at random
- A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis
- The fused Kolmogorov filter: a nonparametric model-free screening method
- Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification
- Forward Regression for Ultra-High Dimensional Variable Screening
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Properties of Squeezed Binomial States and Squeezed Negative Binomial States
- Model-Free Feature Screening for Ultrahigh Dimensional Data through a Modified Blum-Kiefer-Rosenblatt Correlation
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Feature Screening via Distance Correlation Learning
- Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
- Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
- Model-Free Forward Screening Via Cumulative Divergence
- Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
- The Kolmogorov filter for variable screening in high-dimensional binary classification
- Model Selection Principles in Misspecified Models
- Model-Free Feature Screening and FDR Control With Knockoff Features
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