On some classifiers based on multivariate ranks
From MaRDI portal
Publication:5154050
DOI10.1080/03610926.2017.1366520OpenAlexW2748754295MaRDI QIDQ5154050
Olusola Samuel Makinde, Biman Chakraborty
Publication date: 1 October 2021
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1366520
Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (3)
Classification rules based on distribution functions of functional depth ⋮ RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks ⋮ On rank distribution classifiers for high-dimensional data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fast nonparametric classification based on data depth
- On robust classification using projection depth
- On a notion of data depth based on random simplices
- Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
- Breakdown properties of location estimates based on halfspace depth and projected outlyingness
- \(M\)-estimation, convexity and quantiles
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- On data depth and distribution-free discriminant analysis using separating surfaces
- Clustering and classification based on the L\(_{1}\) data depth
- Nonparametric multivariate descriptive measures based on spatial quantiles
- Support-vector networks
- Kurtosis and spread
- Equivariance and invariance properties of multivariate quantile and related functions, and the role of standardisation
- Median-Based Classifiers for High-Dimensional Data
- Least Median of Squares Regression
- An Extended Projection Data Depth and Its Applications to Discrimination
- Multivariate spatial sign and rank methods
- Regression Depth
- DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot
- Quantile-based classifiers
- Nearest neighbor classification in infinite dimension
- On Maximum Depth and Related Classifiers
- The elements of statistical learning. Data mining, inference, and prediction
- On affine equivariant multivariate quantiles
This page was built for publication: On some classifiers based on multivariate ranks
