About: Relationships among probability distributions

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In probability theory and statistics, there are several relationships among probability distributions. These relations can be categorized in the following groups: * One distribution is a special case of another with a broader parameter space * Transforms (function of a random variable); * Combinations (function of several variables); * Approximation (limit) relationships; * Compound relationships (useful for Bayesian inference); * Duality; * Conjugate priors.

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  • In probability theory and statistics, there are several relationships among probability distributions. These relations can be categorized in the following groups: * One distribution is a special case of another with a broader parameter space * Transforms (function of a random variable); * Combinations (function of several variables); * Approximation (limit) relationships; * Compound relationships (useful for Bayesian inference); * Duality; * Conjugate priors. (en)
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  • In probability theory and statistics, there are several relationships among probability distributions. These relations can be categorized in the following groups: * One distribution is a special case of another with a broader parameter space * Transforms (function of a random variable); * Combinations (function of several variables); * Approximation (limit) relationships; * Compound relationships (useful for Bayesian inference); * Duality; * Conjugate priors. (en)
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  • Relationships among probability distributions (en)
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