New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification
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Publication:2136627
DOI10.1214/21-EJS1939zbMath1493.62392arXiv2111.03306OpenAlexW4206632580MaRDI QIDQ2136627
Abbas Khalili, Arezou Mojiri, Ali Zeinal Hamadani
Publication date: 11 May 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2111.03306
Uses Software
Cites Work
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- Regularized linear discriminant analysis and its application in microarrays
- Sparse linear discriminant analysis by thresholding for high dimensional data
- Optimal variable selection in multi-group sparse discriminant analysis
- Covariance regularization by thresholding
- High-dimensional classification using features annealed independence rules
- Gradient boosting for high-dimensional prediction of rare events
- High dimensional classifiers in the imbalanced case
- Distance-weighted support vector machine
- Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations
- Statistical fraud detection: a review
- Fused variable screening for massive imbalanced data
- Support vector machine and its bias correction in high-dimension, low-sample-size settings
- Regularized estimation of large covariance matrices
- The design of polynomial function-based neural network predictors for detection of software defects
- Effect of heavy tails on ultra high dimensional variable ranking methods
- p-Values for High-Dimensional Regression
- Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification
- Penalized Classification using Fisher’s Linear Discriminant
- Sparse Quadratic Discriminant Analysis For High Dimensional Data
- Adaptive Weighted Learning for Unbalanced Multicategory Classification
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Stability Selection
- Multiclass linear discriminant analysis with ultrahigh‐dimensional features
- Weighted Distance Weighted Discrimination and Its Asymptotic Properties
- The maximal data piling direction for discrimination
- Geometric Representation of High Dimension, Low Sample Size Data
- A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant
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