Monte Carlo Methods for Inference in High-Dimensional Systems

DOI10.1007/978-3-642-27225-7_2zbMath1348.65022OpenAlexW134924403MaRDI QIDQ2820279

Jesper Ferkinghoff-Borg

Publication date: 15 September 2016

Published in: Statistics for Biology and Health (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-27225-7_2

zbMATH Keywords

Markov chain Monte Carlo methodergodicityMetropolis-Hastings algorithmBayesian inferenceGibbs samplingrandom numberWang-Landau methodbio-macromoleculesnon-Markovian learning algorithms

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (1)

Expectation propagation in linear regression models with spike-and-slab priors

This page was built for publication: Monte Carlo Methods for Inference in High-Dimensional Systems