Posterior model probabilities via path-based pairwise priors
Publication
, Journal Article
Berger, JO; Molina, G
Published in: Statistica Neerlandica
February 1, 2005
We focus on Bayesian model selection for the variable selection problem in large model spaces. The challenge is to search the huge model space adequately, while accurately approximating model posterior probabilities for the visited models. The issue of choice of prior distributions for the visited models is also important. © VVS, 2005.
Duke Scholars
Published In
Statistica Neerlandica
DOI
ISSN
0039-0402
Publication Date
February 1, 2005
Volume
59
Issue
1
Start / End Page
3 / 15
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Berger, J. O., & Molina, G. (2005). Posterior model probabilities via path-based pairwise priors. Statistica Neerlandica, 59(1), 3–15. https://doi.org/10.1111/j.1467-9574.2005.00275.x
Berger, J. O., and G. Molina. “Posterior model probabilities via path-based pairwise priors.” Statistica Neerlandica 59, no. 1 (February 1, 2005): 3–15. https://doi.org/10.1111/j.1467-9574.2005.00275.x.
Berger JO, Molina G. Posterior model probabilities via path-based pairwise priors. Statistica Neerlandica. 2005 Feb 1;59(1):3–15.
Berger, J. O., and G. Molina. “Posterior model probabilities via path-based pairwise priors.” Statistica Neerlandica, vol. 59, no. 1, Feb. 2005, pp. 3–15. Scopus, doi:10.1111/j.1467-9574.2005.00275.x.
Berger JO, Molina G. Posterior model probabilities via path-based pairwise priors. Statistica Neerlandica. 2005 Feb 1;59(1):3–15.
Published In
Statistica Neerlandica
DOI
ISSN
0039-0402
Publication Date
February 1, 2005
Volume
59
Issue
1
Start / End Page
3 / 15
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics