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Generating random deviates from multivariate Pearson distributions

โœ Scribed by Rudolph S. Parrish


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
933 KB
Volume
9
Category
Article
ISSN
0167-9473

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We address the problem of constructing and identifying a valid joint probability density function from a set of specified conditional densities. The approach taken is based on the development of relations between the joint and the conditional densities using Markov random fields (MRFs). We give a ne