BOOK-CHAPTER
Marginal Likelihood Calculation with MCMC Methods
Year: 2013 Springer theses Pages: 99-120 Publisher: Springer Nature
Keywords:
Markov chain Monte Carlo Marginal likelihood Bayesian probability Algorithm Computer science Sampling (signal processing) Applied mathematics Mathematics Artificial intelligence
Metrics
6
Cited By
0.00
FWCI (Field Weighted Citation Impact)
19
Refs
0.07
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Advanced Frequency and Time Standards
Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics
Pulsars and Gravitational Waves Research
Physical Sciences → Physics and Astronomy → Astronomy and Astrophysics
Cosmology and Gravitation Theories
Physical Sciences → Physics and Astronomy → Astronomy and Astrophysics
Related Documents
JOURNAL ARTICLE
Marginal likelihood calculation for the Gelfand–Dey and Chib methods
Journal: Economics Letters Year: 2011 Vol: 115 (2)Pages: 200-203
JOURNAL ARTICLE
Marginal likelihood methods in econometrics
Journal: OPAL (Open@LaTrobe) (La Trobe University) Year: 2017
JOURNAL ARTICLE
Likelihood, Bayesian and MCMC Methods in Quantitative Genetics
Journal: Journal of the American Statistical Association Year: 2008 Vol: 103 (481)Pages: 432-432
BOOK
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Statistics for biology and health Year: 2002