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In this paper we analyze probabilistic distances of the Dirichlet distribution and its particular two-parameter instantiation, the Beta distribution.
Abstract. We give the analytical definitions of the Chernoff, Bhattacharyya and Jeffreys-Matusita probabilistic distances between two Dirichlet distributions ...
Oct 22, 2024 · We give the analytical definitions of the Chernoff, Bhattacharyya and Jeffreys-Matusita probabilistic distances between two Dirichlet ...
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The Dirichlet probability distribution has been used in a variety of supervised and unsupervised pattern recognition do- mains, for instance in the context of ...
The Dirichlet distribution is a multivariate continuous probability distribution often used to model the uncertainty about a vector of unknown probabilities.
Missing: Probabilistic distance
Divergence between two Dirichlet distributions: Divergence measures the distance between two distributions f and g. If there exists a random variable X with ...
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Sep 29, 2018 · Dirichlet Distribution and Beta Distribution ; Y1 has a beta distribution with parameters ; α=α1 and ; β=α2+⋯+αk+1.".
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Probabilistic distance measures of the Dirichlet and Beta distributions. from en.wikipedia.org
Dirichlet distributions are commonly used as prior distributions in Bayesian statistics, and in fact, the Dirichlet distribution is the conjugate prior of the ...
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The Dirichlet process is used to model probability distributions that are mixtures of an unknown number of components. Amino acid frequencies at homologous ...
It is a multivariate generalization of the Beta distribution. Dirichlet distributions are commonly used as prior distributions in Bayesian statistics.
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