Geodesic
Sufficiency in bayesian models
Applicationes Mathematicae, Tome 25 (1999) no. 1, pp. 113-120 Cet article a éte moissonné depuis la source Institute of Mathematics Polish Academy of Sciences

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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

Konrad Furmańczyki 1 ; Wojciech Niemiro 1

1 
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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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