Bayesian hierarchical modelling of stellar clusters

  1. Javier Olivares Romero
  2. Hervé Bouy
  3. Luis Manuel Sarro
  4. E. Moraux
  5. Ángel Berihuete Macías
Livre:
Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain
  1. Itziar Irigoien (ed. lit.)
  2. Dae-Jin Lee (ed. lit.)
  3. Joaquín Martínez-Minaya (ed. lit.)
  4. María Xosé Rodríguez- Álvarez (ed. lit.)

Éditorial: Servicio Editorial = Argitalpen Zerbitzua ; Universidad del País Vasco = Euskal Herriko Unibertsitatea

ISBN: 978-84-1319-267-3

Année de publication: 2020

Pages: 386-389

Congreso: International Workshop on Statistical Modelling (35. 2020. Bilbao)

Type: Communication dans un congrès

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Résumé

Bayesian hierarchical models are useful tools for the statistical description of diverse types of phenomena. Here we present three applications of these types models for the study of stellar clusters distributions. In particular for the inference of their luminosity, spatial, and distance distributions.

La source de données: Dialnet