Fast nonparametric classification based on data depth

JOURNAL ARTICLE published February 2014 in Statistical Papers

Authors: Tatjana Lange | Karl Mosler | Pavlo Mozharovskyi

Fast DD-classification of functional data

JOURNAL ARTICLE published December 2017 in Statistical Papers

Authors: Karl Mosler | Pavlo Mozharovskyi

Choosing Among Notions of Multivariate Depth Statistics

JOURNAL ARTICLE published 1 August 2022 in Statistical Science

Authors: Karl Mosler | Pavlo Mozharovskyi

DDα-Classification of Asymmetric and Fat-Tailed Data

BOOK CHAPTER published 2014 in Studies in Classification, Data Analysis, and Knowledge Organization

Authors: Tatjana Lange | Karl Mosler | Pavlo Mozharovskyi

Classifying real-world data with the $${ DD}alpha $$ D D α -procedure

JOURNAL ARTICLE published September 2015 in Advances in Data Analysis and Classification

Authors: Pavlo Mozharovskyi | Karl Mosler | Tatjana Lange

The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensional Objects

BOOK CHAPTER published 2014 in Studies in Classification, Data Analysis, and Knowledge Organization

Authors: Tatjana Lange | Pavlo Mozharovskyi

Data analysis and classification with the zonoid depth

BOOK CHAPTER published 21 November 2006 in DIMACS Series in Discrete Mathematics and Theoretical Computer Science

Authors: Karl Mosler | Richard Hoberg

A nonparametric multivariate multisample test based on data depth

JOURNAL ARTICLE published 1 January 2012 in Electronic Journal of Statistics

Authors: Shojaeddin Chenouri | Christopher G. Small

Nonparametric Imputation by Data Depth

JOURNAL ARTICLE published 2 January 2020 in Journal of the American Statistical Association

Research funded by Centre Henri Lebesgue (PIA-ANR-11-LABX-,-01)

Authors: Pavlo Mozharovskyi | Julie Josse | François Husson

Depth and Depth-Based Classification with R Package ddalpha

JOURNAL ARTICLE published 2019 in Journal of Statistical Software

Authors: Oleksii Pokotylo | Pavlo Mozharovskyi | Rainer Dyckerhoff

Multivariate spacings based on data depth: I. Construction of nonparametric multivariate tolerance regions

JOURNAL ARTICLE published 1 June 2008 in The Annals of Statistics

Authors: Jun Li | Regina Y. Liu

Uniform convergence rates for the approximated halfspace and projection depth

JOURNAL ARTICLE published 1 January 2020 in Electronic Journal of Statistics

Authors: Stanislav Nagy | Rainer Dyckerhoff | Pavlo Mozharovskyi

New Nonparametric Tests of Multivariate Locations and Scales Using Data Depth

JOURNAL ARTICLE published 1 November 2004 in Statistical Science

Authors: Jun Li | Regina Y. Liu

Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis

JOURNAL ARTICLE published 1 January 2023 in Electronic Journal of Statistics

Authors: Stephan Clémençon | Pavlo Mozharovskyi | Guillaume Staerman

Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

JOURNAL ARTICLE published 1 February 2021 in The Annals of Statistics

Authors: T. Tony Cai | Hongji Wei

Nonparametric conditional density estimation for censored data based on a recursive kernel

JOURNAL ARTICLE published 1 January 2014 in Electronic Journal of Statistics

Authors: Salah Khardani | Sihem Semmar

Exact computation of the halfspace depth

JOURNAL ARTICLE published June 2016 in Computational Statistics & Data Analysis

Authors: Rainer Dyckerhoff | Pavlo Mozharovskyi

Fast Intra Prediction Based BCIM for Depth-Map in 3D-HEVC

PROCEEDINGS ARTICLE published March 2014 in 2014 Data Compression Conference

Authors: Mengmeng Zhang | Shenghui Qiu | Huihui Bai

Data depth

BOOK CHAPTER published 2002 in Multivariate Dispersion, Central Regions, and Depth

Authors: Karl Mosler

Strongly universally consistent nonparametric regression and classification with privatised data

JOURNAL ARTICLE published 1 January 2021 in Electronic Journal of Statistics

Authors: Thomas B. Berrett | László Györfi | Harro Walk