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This module implements classes to represent an arbitrary Bayesian random variable.
This is experimental code! do not use for serious applications!
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_BayesVar Bayesian random variate. |
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__BayesC | |||
__BayesD |
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discrete_conjugate_priors = {'Bernoulli': 'Beta', 'Binomial':
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continuous_conjugate_priors = {'Uniform': 'Pareto', 'Exponenti
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discrete_conjugate_priors
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continuous_conjugate_priors
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