Approximate Bayesian Computational methods
Year of publication: |
2012
|
---|---|
Authors: | Marin, Jean-Michel ; Pudlo, Pierre ; Robert, Christian P. ; Ryder, Robin |
Institutions: | Université Paris-Dauphine (Paris IX) |
Subject: | likelihood-free methods | Bayesian statistics | ABC Methodology | DIYABC | Bayesian model chance |
Series: | |
---|---|
Type of publication: | Book / Working Paper |
Notes: | Published in Statistics and Computing, 2012, Vol. 22, no. 6. pp. 1167-1180.Length: 13 pages |
Classification: | C15 - Statistical Simulation Methods; Monte Carlo Methods ; C11 - Bayesian Analysis |
Source: |
-
Lack of confidence in approximate Bayesian computation model choice
Robert, Christian P., (2011)
-
Relevant statistics for Bayesian model choice
Rousseau, Judith, (2014)
-
Contributions computationnelles à la statistique Bayésienne
Jacob, Pierre E., (2012)
- More ...
-
Singh, Sumeetpal S.,
-
Relevant statistics for Bayesian model choice
Rousseau, Judith, (2014)
-
Bayesian Core: A practical approach to computational Bayesian statistics
Marin, Jean-Michel, (2007)
- More ...