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作者:David R. Wolf
来源:[J].Entropy: International and Interdisciplinary Journal of Entropy and Information Studies(IF 1.347), 1999, Vol.1 (4), pp.69
摘要:Abstract: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informative inference of continuous-basis fields, that is where the basis for the field is itself a co...
作者:David R. Wolf
来源:[J].Entropy(IF 1.347), 1999, Vol.1 (4), pp.69-98
摘要:Abstract: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informative inference of continuous-basis fields, that is where the basis for the field is itself a co...
作者:David H. Wolpert , David R. Wolf
来源:[J].1995, Vol.52 (6), pp.6841
摘要:This paper addresses the problem of estimating a function of a probability distribution from a finite set of samples of that distribution. A Bayesian analysis of this problem is presented, the optimal properties of the Bayes estimators are discussed, and as an example of the...

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