In probability theory, a Dirichlet process is a way of assigning a probability distribution over probability distributions. That is, a Dirichlet process is a probability distribution whose domain is itself a set of probability distributions. The probability distributions in the domain are almost surely discrete and may be infinite dimensional. Assigning an arbitrary probability distribution over a domain of infinite dimensional probability distributions would require an infinite amount of computational resources. The main function of the Dirichlet process is that it allows the specification of a distribution over infinite dimensional distributions in a way that uses only finite resources. … Dirichlet Process (DP)

# If you did not already know: “Dirichlet Process (DP)”

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