Question: Suppose that observations x 1 , x 2 , ..., X n are available from a density Explain how you would make inferences about the

Suppose that observations x1, x2, ..., Xn are available from a density

p(x|0) = (c + 1)0(c+) xc (0 < x < 0).

Explain how you would make inferences about the parameter θ using a conjugate prior.

p(x|0) = (c + 1)0(c+) xc (0 < x < 0).

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In Bayesian statistics a conjugate prior is chosen to simplify the calculation of the posterior distribution A conjugate prior has the property that w... View full answer

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