Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

dcor: Distance correlation and energy statistics in Python

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Additional Information
    • Contributors:
      UAM. Departamento de Matemáticas
    • Publication Information:
      Elsevier
    • Publication Date:
      2023
    • Collection:
      Universidad Autónoma de Madrid (UAM): Biblos-e Archivo
    • Abstract:
      This article presents dcor, an open-source Python package dedicated to distance correlation and other statistics related to energy distance. These energy statistics include distances between distributions and the associated tests for homogeneity and independence. Some of the most efficient algorithms for the estimation of these measures have been implemented relying on optimization techniques such as vectorization, compilation, and parallelization. The performance of these estimators is evaluated by comparison with alternative implementations in other packages. The package is also designed to be compatible with the packages conforming the scientific Python ecosystem. With that purpose in mind, dcor is an early adopter of the Python array API standard. ; PID2019-106827GB-I00, PID2019-106827GB-I00
    • File Description:
      application/pdf
    • ISBN:
      978-2-01-910938-7
      2-01-910938-7
    • Relation:
      SoftwareX; https://doi.org/10.1016/j.softx.2023.101326; Gobierno de España. PID2019–106827GB-I00; Gobierno de España. PID2019-109387GB-I00; SoftwareX 22 (2023): 101326; 2352-7110 (online); http://hdl.handle.net/10486/708445; 101326-1; 101326-7; 22
    • Accession Number:
      10.1016/j.softx.2023.101326
    • Online Access:
      http://hdl.handle.net/10486/708445
      https://doi.org/10.1016/j.softx.2023.101326
    • Rights:
      © 2023 The Authors ; Reconocimiento ; openAccess
    • Accession Number:
      edsbas.CAC75EF1