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Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Glatt-Holtz, Nathan E., Holbrook, Andrew J., Krometis, Justin A., Mondaini, Cecilia F.
Format:	Preprint
Publié:	2022
Sujets:	Computation Probability Statistics Theory 62D05, 60J22, 65C05, 65Y05
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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