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

Choosing Among Notions of Multivariate Depth Statistics

JOURNAL ARTICLE published 1 August 2022 in Statistical Science

Authors: Karl Mosler | Pavlo Mozharovskyi

Fast nonparametric classification based on data depth

JOURNAL ARTICLE published February 2014 in Statistical Papers

Authors: Tatjana Lange | Karl Mosler | Pavlo Mozharovskyi

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

Classification rules based on distribution functions of functional depth

JOURNAL ARTICLE published June 2019 in Statistical Papers

Authors: Olusola Samuel Makinde

CompPD: AMATLABPackage for Computing Projection Depth

JOURNAL ARTICLE published 2015 in Journal of Statistical Software

Authors: Xiaohui Liu | Yijun Zuo

On General Notions of Depth for Regression

JOURNAL ARTICLE published 1 February 2021 in Statistical Science

Authors: Yijun Zuo

Depth-based runs tests for bivariate central symmetry

JOURNAL ARTICLE published October 2015 in Annals of the Institute of Statistical Mathematics

Authors: Rainer Dyckerhoff | Christophe Ley | Davy Paindaveine

On a General Definition of Depth for Functional Data

JOURNAL ARTICLE published 1 November 2017 in Statistical Science

Authors: Irène Gijbels | Stanislav Nagy

A Topologically Valid Definition of Depth for Functional Data

JOURNAL ARTICLE published 1 February 2016 in Statistical Science

Authors: Alicia Nieto-Reyes | Heather Battey

Correction to “A Topologically Valid Definition of Depth for Functional Data”

JOURNAL ARTICLE published 1 November 2017 in Statistical Science

Authors: Alicia Nieto-Reyes | Heather Battey

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

Depth for Curve Data and Applications

JOURNAL ARTICLE published 2 October 2021 in Journal of the American Statistical Association

Authors: Pierre Lafaye de Micheaux | Pavlo Mozharovskyi | Myriam Vimond

Classification with the pot–pot plot

JOURNAL ARTICLE published June 2019 in Statistical Papers

Authors: Oleksii Pokotylo | Karl Mosler

Multi-class Depth-based Classification for Multivariate Data

JOURNAL ARTICLE published 1 February 2024 in Journal of Statistical Sciences

Authors: Sara Bayat | Sakineh Dehghan

Computing the Oja Median in R: The Package OjaNP

JOURNAL ARTICLE published 2020 in Journal of Statistical Software

Authors: Daniel Fischer | Karl Mosler | Jyrki Möttönen | Klaus Nordhausen | Oleksii Pokotylo | Daniel Vogel

A comparison of depth functions in maximal depth classification rules

JOURNAL ARTICLE published 1 May 2017 in Journal of Modern Applied Statistical Methods

Authors: Olusola Samuel Makinde | Adeyinka Damilare Adewumi

Fast DD-classification of functional data

JOURNAL ARTICLE published December 2017 in Statistical Papers

Authors: Karl Mosler | Pavlo Mozharovskyi

Learning Large-Scale Bayesian Networks with the sparsebn Package

JOURNAL ARTICLE published 2019 in Journal of Statistical Software

Authors: Bryon Aragam | Jiaying Gu | Qing Zhou

Hybrid Confidence Regions Based on Data Depth

JOURNAL ARTICLE published 1 January 2012 in Journal of the Royal Statistical Society Series B: Statistical Methodology

Research funded by Research Grants Council of the Hong Kong Special Administrative Region, China (HKU 703306P,703207P)

Authors: Stephen M. S. Lee