Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

Piecewise Deterministic Monte Carlo algorithms enable simulation from a posterior distribution, whilst only needing to access a sub-sample of data at each iteration. We show how they can be implemented in settings where the parameters live on a restricted domain.

Xehetasun bibliografikoak
Egile Nagusiak: Bierkens, J, Bouchard-Côté, A, Doucet, A, Duncan, AB, Fearnhead, P, Lienart, T, Roberts, G, Vollmer, SJ
Formatua: Journal article
Hizkuntza:English
Argitaratua: Elsevier 2018