Credits#

The \(\texttt{data-depth}\) project started as an initiative to consolidate efficient implementations of data depth methodology in autumn 2012, with its first release in February 2013 as an R-package \(\texttt{ddalpha}\), including codes of Pavlo Mozharovskyi, Rainer Dyckerhoff, and Oleksii Pokotylo. Continuous development led to gradual improvement of the package throughout the recent decade and since early 2022 the work on the Python library ‘data-depth’ started, which includes part of the codes of the ‘ddalpha’ package as well as being augmented by new codes.

Special thanks are to the Hi! Paris team, which has given the necessary starting impulse by translating (in part) codes of the R-package \(\texttt{ddalpha}\) (those by Pavlo Mozharovskyi, Rainer Dyckerhoff, and Oleksii Pokotylo), and—together with Romain Valla—improving in general the initial codes of the library.

The project is currently being led by Pavlo Mozharovskyi: https://perso.telecom-paristech.fr/mozharovskyi/

Contributors#

  • Pavlo Mozharovskyi, <pavlo.mozharovskyi at telecom-paris.fr>

  • Rainer Dyckerhoff, <rainer.dyckerhoff at statistik.uni-koeln.de>

  • Oleksii Pokotylo, <alexey.pokotylo at gmail.com>

  • Romain Valla, <romain.valla at telecom-paris.fr>

  • Arturo Castellanos Salinas, <arturo.castellanos at telecom-paris.fr>

  • Pierre-Antoine Amiand Leroy, <pierre-antoine.amiand-leroy at ip-paris.fr> (on behalf of Hi! Paris)

  • Amine Yamoul, <amine.yamoul at capgemini.com> (on behalf of Hi! Paris)

  • Kevin Aggoun, <kevin.aggoun at capgemini.com> (on behalf of Hi! Paris)

  • Contribution of the Starting Grant (JCJC) of the French National Research Agency (ANR <https://anr.fr>) in the category Artificial Intelligence (CE23) is greatly acknowledged (grant number ANR-21-CE23-0029-01).