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Abstract: this technical claim is that in order to find all positive integrable functions that satisfy Eq. 9, it is permissible to take any derivative at any point in the domain because it exists. By setting z ij = 1=k, for all i and j, in Equation 9 we get that f 0 (y 1 ; : : : ; y n\Gamma1 ) is proportional to (Update)
Context of citations to this paper: More
.... of Conjugacy: Dawid s response to [LS88] Continuous Belief Function Densities: WD94b] WD94a] others: AFS94] KSC84] GH94a] GH95a] Ken86] 1.10 Philosophical Issues 1.10.1 Causality and Control refs: Pea88a] Pea94b] Pea94a] Pea95b] Pea95a] SGS93] DS93]...
...Namely, the parameter distributions before and after data are seen are in the same family: the Dirichlet family. Geiger and Heckerman (1995) provide a characterization of the Dirichlet distribution, which shows that the fifth assumption is implied from the first three...
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BibTeX entry: (Update)
D. Geiger and D. Heckerman, A characterization of the Dirichlet distribution with application to learning Bayesian networks. Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, Montreal, QU, 196--207, August 1995. Morgan Kaufmann. http://citeseer.ist.psu.edu/article/geiger95characterization.html More
@inproceedings{ geigercharacterization,
author = "Dan Geiger and David Heckerman",
title = "A Characterization of the {Dirichlet} Distribution with Application to Learning {Bayesian} Networks",
pages = "196--207",
url = "citeseer.ist.psu.edu/article/geiger95characterization.html" }
Citations (may not include all citations):1543 Probabilistic Reasoning in Intelligent Systems: Networks of .. (context) - Pearl - 1988
351 Learning Bayesian Networks: The combination of knowledge and.. - Heckerman, Geiger et al. - 1994
181 Optimal statistical decisions (context) - DeGroot
148 Bayesian analysis in expert systems (context) - Spiegelhalter, Dawid et al. - 1993
118 Sequential updating of conditional probabilities on directed.. (context) - Spiegelhalter, Lauritzen - 1990
84 Theory refinement on Bayesian networks - Buntine - 1991
52 Hyper Markov laws in statistical analysis of decomposable gr.. (context) - Dawid, Lauritzen - 1993
40 Learning Gaussian Networks - Geiger, Heckerman - 1994
25 Lectures on functional equations and their applications (context) - Acz'el - 1966
22 Wiley and Sons (context) - Wilks, Statistics
18 Learning Bayesian Networks: A unification for discrete and G.. (context) - Heckerman, Geiger
12 A characterization of the Dirichlet distribution through glo.. - Geiger, Heckerman - 1995
8 Learning Bayesian networks - Heckerman, Geiger et al. - 1995
The graph only includes citing articles where the year of publication is known.
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