Learning undirected graphical models using persistent sequential Monte Carlo

DOI10.1007/s10994-016-5564-xzbMath1357.68189OpenAlexW2332365803MaRDI QIDQ298282

Hanchen Xiong, Sandor Szedmak, Justus Piater

Publication date: 20 June 2016

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-016-5564-x

zbMATH Keywords

sequential Monte Carlomaximum likelihood learningundirected graphical models

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Stochastic approximation (62L20) Sequential statistical analysis (62L10)

Uses Software

• statnet

Cites Work

• Unnamed Item
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• Sequential Imputations and Bayesian Missing Data Problems
• A sequential particle filter method for static models
• A Stochastic Approximation Method
• On parallel implementation of sequential Monte Carlo methods: the island particle model

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