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Mathematics, 24.06.2019 22:30, genyjoannerubiera
In a bayesian setting, the posterior distribution can be used as a prior distribution for a succeeding bayesian λ)-x(m, x, inference problem. in other works, we can write the prior πί consider the two priors: the jeffreys prior π,(a) earlier and the new prior π(a) based on the calculated posterior, which of the two priors, if any is/are proper? (a) both π,(a) and π(a) π,(a) only (b) π(a) only (d) neither π,(a) nor π(a) consider the bayesian confidence region boundary values @ and b calculatedintheprecious section, andnow construct the interval r (a, b. which of the following statements about r is/are true? r is a bayesian confidence region of level 5% (a) r (b) is the unique bayesian confidence region of level 5% r is a bayesian confidence region of level 10% (c) r is the unique bayesian confidence region of level 10% (d) none of the above
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In a bayesian setting, the posterior distribution can be used as a prior distribution for a succeedi...
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