Adaptive threshold-based classification of sparse high-dimensional data
DOI10.1214/22-EJS1998zbMath1493.62395OpenAlexW4220991108MaRDI QIDQ2136667
Tatjana Pavlenko, Natalia Stepanova, Lee Thompson
Publication date: 11 May 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-16/issue-1/Adaptive-threshold-based-classification-of-sparse-high-dimensional-data/10.1214/22-EJS1998.full
high-dimensional datasparse vectorsadaptive threshold-based classificationasymptotically optimal classifier
Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sparse linear discriminant analysis by thresholding for high dimensional data
- A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data
- Weighted empirical and quantile processes
- Some problems of hypothesis testing leading to infinitely divisible distributions
- A \(U\)-classifier for high-dimensional data under non-normality
- Persistene in high-dimensional linear predictor-selection and the virtue of overparametrization
- Higher criticism for detecting sparse heterogeneous mixtures.
- Adaptive variable selection in nonparametric sparse regression
- Adaptive variable selection in nonparametric sparse additive models
- Optimal classification in sparse Gaussian graphic model
- A Direct Estimation Approach to Sparse Linear Discriminant Analysis
- Classification of sparse high-dimensional vectors
- Feature selection by higher criticism thresholding achieves the optimal phase diagram
- Scale adjustments for classifiers in high-dimensional, low sample size settings
- On a Problem of Adaptive Estimation in Gaussian White Noise
- Goodness-of-Fit Tests Based on Sup-Functionals of Weighted Empirical Processes
- An Asymptotic Expansion of the Non-Null Distribution of Hotelling's Generalized $T_0^2$-Statistic
- Linear Statistical Inference and its Applications
- On the Distribution of two Random Matrices used in Classification Procedures
This page was built for publication: Adaptive threshold-based classification of sparse high-dimensional data
