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(Solved): Let x_(1),x_(2),dots,x_(n) be a random sample from Bernoulli with parameter \theta , and the prior ...
Let
x_(1),x_(2),dots,x_(n)be a random sample from Bernoulli with parameter
\theta , and the prior distribution of
\Theta is a uniform distribution, where
0<\theta <1. Find the posterior distribution and the Bayes' point estimator of
\Theta when the loss function be the squared error loss function.
