Ordered group reference priors with application to the multinomial problem
Publication
, Journal Article
Berger, JO; Bernardo, JM
Published in: Biometrika
March 1, 1992
SUMMARY: Noninformative priors are developed, using the reference prior approach, for multipara-meter problems in which there may be parameters of interest and nuisance parameters. For a given grouping of parameters and ordering of the groups, intuitively, according to inferential importance, an algorithm for determining the associated reference prior is presented. The algorithm is illustrated on the multinomial problem, with discussion of the variety and success of various groupings and ordering strategies. © 1992 Biometrika Trust.
Duke Scholars
Published In
Biometrika
DOI
ISSN
0006-3444
Publication Date
March 1, 1992
Volume
79
Issue
1
Start / End Page
25 / 37
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 3802 Econometrics
- 1403 Econometrics
- 0104 Statistics
- 0103 Numerical and Computational Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Berger, J. O., & Bernardo, J. M. (1992). Ordered group reference priors with application to the multinomial problem. Biometrika, 79(1), 25–37. https://doi.org/10.1093/biomet/79.1.25
Berger, J. O., and J. M. Bernardo. “Ordered group reference priors with application to the multinomial problem.” Biometrika 79, no. 1 (March 1, 1992): 25–37. https://doi.org/10.1093/biomet/79.1.25.
Berger JO, Bernardo JM. Ordered group reference priors with application to the multinomial problem. Biometrika. 1992 Mar 1;79(1):25–37.
Berger, J. O., and J. M. Bernardo. “Ordered group reference priors with application to the multinomial problem.” Biometrika, vol. 79, no. 1, Mar. 1992, pp. 25–37. Scopus, doi:10.1093/biomet/79.1.25.
Berger JO, Bernardo JM. Ordered group reference priors with application to the multinomial problem. Biometrika. 1992 Mar 1;79(1):25–37.
Published In
Biometrika
DOI
ISSN
0006-3444
Publication Date
March 1, 1992
Volume
79
Issue
1
Start / End Page
25 / 37
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 3802 Econometrics
- 1403 Econometrics
- 0104 Statistics
- 0103 Numerical and Computational Mathematics