Auxiliary Variables for Multi-Dirichlet Priors

Bayesian models that mix multiple Dirichlet prior parameters, called Multi-Dirichlet priors (MD) in this paper, are gaining popularity. Inferring mixing weights and parameters of mixed prior distributions seems tricky, as sums over Dirichlet parameters complicate the joint distribution of model para...

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Bibliographische Detailangaben

1. Verfasser:	Kling, Christoph Carl
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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