Dirichlet process
In probability theory, Dirichlet processes (after Peter Gustav Lejeune Dirichlet) are a family of stochastic processes whose realizations are probability distributions. In other words, a Dirichlet process is a probability distribution whose range is itself a set of probability distributions. It is often used in Bayesian inference to describe the prior knowledge about the distribution of random variables—how likely it is that the random variables are distributed according to one or another particular distribution.
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Dirichlet process
In probability theory, Dirichlet processes (after Peter Gustav Lejeune Dirichlet) are a family of stochastic processes whose realizations are probability distributions. In other words, a Dirichlet process is a probability distribution whose range is itself a set of probability distributions. It is often used in Bayesian inference to describe the prior knowledge about the distribution of random variables—how likely it is that the random variables are distributed according to one or another particular distribution.
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Em teoria das probabilidades, ...... omputacional e bioinformática.
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In probability theory, Dirichl ...... ter vision and bioinformatics.
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Em teoria das probabilidades, ...... outra distribuição particular.
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In probability theory, Dirichl ...... other particular distribution.
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Dirichlet process
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Processo de Dirichlet
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