For use in second-order probability, we let the predicate express first-order probability, i.e. that the probability variables must sum to one in order to ...
For use in second-order prob- ability, we let the predicate express first-order probability, i.e. that the probability variables must sum to one in order to ...
For use in second-order probability, we let the predicate express first-order probability, i.e. that the probability variables must sum to one in order to ...
It is proved that relative independence coincides with conditional independence only in a trivial case, and examples of Dirichlet distributions that do and ...
Sep 20, 2012 · For use in second-order probability, we let the predicate express first-order probability, i.e. that the probability variables must sum to one ...
44 male undergraduates served in an 800-trial, 2-choice probability-learning experiment concerned with Ss' ability to use 2nd-order conditional probabilities.
Missing: Dependence | Show results with:Dependence
May 30, 2015 · Yes. And mathematically, not only does the order of a chain of dependent trials not affect the joint probability of their successes.
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Let us consider the extension of time-dependent perturbation theory to second order ... the occupation probability to decay as. |ci(t)|2. = |ci(0)|2 e. −t/τi . ( ...
We consider second-order probability matching priors that ensure frequentist validity of posterior quantiles with margin of error o(n−1), where n is the ...
Approximating discrete probability distributions with dependence trees
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A method is presented to approximate optimally an n -dimensional discrete probability distribution by a product of second-order distributions.