Sufficiency in bayesian models
Applicationes Mathematicae, Tome 25 (1999) no. 1, pp. 113-120
We consider some fundamental concepts of mathematical statistics in the Bayesian setting. Sufficiency, prediction sufficiency and freedom can be treated as special cases of conditional independence. We give purely probabilistic proofs of the Basu theorem and related facts.
DOI :
10.4064/am-25-1-113-120
Keywords:
sufficiency, connditional independence, Bayesian models, prediction sufficiency, freedom
@article{10_4064_am_25_1_113_120,
author = {Konrad Furma\'nczyki and Wojciech Niemiro},
title = {Sufficiency in bayesian models},
journal = {Applicationes Mathematicae},
pages = {113--120},
year = {1999},
volume = {25},
number = {1},
doi = {10.4064/am-25-1-113-120},
zbl = {0907.62006},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-25-1-113-120/}
}
TY - JOUR AU - Konrad Furmańczyki AU - Wojciech Niemiro TI - Sufficiency in bayesian models JO - Applicationes Mathematicae PY - 1999 SP - 113 EP - 120 VL - 25 IS - 1 UR - http://geodesic.mathdoc.fr/articles/10.4064/am-25-1-113-120/ DO - 10.4064/am-25-1-113-120 LA - en ID - 10_4064_am_25_1_113_120 ER -
Konrad Furmańczyki; Wojciech Niemiro. Sufficiency in bayesian models. Applicationes Mathematicae, Tome 25 (1999) no. 1, pp. 113-120. doi: 10.4064/am-25-1-113-120
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