bayesian probability theory造句

The theory of subjective expected utility combines two subjective concepts : first, a personal utility function, and second a personal probability distribution ( usually based on Bayesian probability theory ).
In Bayesian probability theory, if the Gaussian family is conjugate to itself ( or " self-conjugate " ) with respect to a Gaussian likelihood function : if the likelihood function is Gaussian, choosing a Gaussian prior over the mean will ensure that the posterior distribution is also Gaussian.
His seminal book " Theory of probability " first appeared in 1939 and played an important role in the revival of the reference analysis, Other well-known proponents of Bayesian probability theory include I . J . Good, B . O . Koopman, Howard Raiffa, Robert Schlaifer and Alan Turing.
A conjunction error occurs when a person judges the probability of a likely event L " and " an unlikely event U to be greater than the unlikely event U; a disjunction error occurs when a person judges the probability of a likely event L to be greater than the probability of the likely event L " or " an unlikely event U . Quantum probability theory is a generalization of Bayesian probability theory because it is based on a set of von Neumann axioms that relax some of the classic Kolmogorov axioms.
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