Inference on Markov random fields: methods and applications

Inference on Markov random fields: methods and applications

<p>This thesis considers the problem of performing inference on undirected graphical models with continuous state spaces. These models represent conditional independence structures that can appear in the context of Bayesian Machine Learning. In the thesis, we focus on computational methods and...

Bibliografski detalji
Glavni autor:	Lienart, T
Daljnji autori:	Doucet, A
Format:	Disertacija
Jezik:	English
Izdano:	2017
Teme:	Computational statistics Machine learning Bayesian statistics

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