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The method for finding a Bayesian test depends on the posterior of the parameter and a function of the data. Using the posterior probabilities of the null parameter space and the alternative…
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This example illustrates how to find the Bayes estimator, under squared error loss function, of the rate of a Poisson distribution if the prior distribution on the rate is a gamma distribution.
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In statistical inference, the frequentist perspective considers the parameter θ to be a fixed, but unknown quantity. Statistics used for inferential purposes ideally have specific optimal…
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The Bayesian approach to statistics is fundamentally different from the classical approach that we have been discussing. However, some aspects of the Bayesian approach can be quite helpful to other…
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