Stability and conditional Γ-minimaxity in Bayesian inference
Applicationes Mathematicae, Tome 22 (1993) no. 1, pp. 117-122
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
Two concepts of optimality corresponding to Bayesian robust analysis are considered: conditional Γ-minimaxity and stability. Conditions for coincidence of optimal decisions of both kinds are stated.
DOI :
10.4064/am-22-1-117-122
Keywords:
conditional Γ-minimax action, stability of a statistical procedure, robust Bayesian analysis
Affiliations des auteurs :
Marek Męczarski 1
@article{10_4064_am_22_1_117_122,
author = {Marek M\k{e}czarski},
title = {Stability and conditional {\ensuremath{\Gamma}-minimaxity} in {Bayesian} inference},
journal = {Applicationes Mathematicae},
pages = {117--122},
publisher = {mathdoc},
volume = {22},
number = {1},
year = {1993},
doi = {10.4064/am-22-1-117-122},
zbl = {0789.62007},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-22-1-117-122/}
}
TY - JOUR AU - Marek Męczarski TI - Stability and conditional Γ-minimaxity in Bayesian inference JO - Applicationes Mathematicae PY - 1993 SP - 117 EP - 122 VL - 22 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/articles/10.4064/am-22-1-117-122/ DO - 10.4064/am-22-1-117-122 LA - en ID - 10_4064_am_22_1_117_122 ER -
Marek Męczarski. Stability and conditional Γ-minimaxity in Bayesian inference. Applicationes Mathematicae, Tome 22 (1993) no. 1, pp. 117-122. doi: 10.4064/am-22-1-117-122
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