We have i.i.d. observations X₁,..., Xn each with pdf 20xe -0x² x > 0, 9 f(x|0) 0, otherwise. Here> 0 is an unknown param
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We have i.i.d. observations X₁,..., Xn each with pdf 20xe -0x² x > 0, 9 f(x|0) 0, otherwise. Here> 0 is an unknown param
We have i.i.d. observations X₁,..., Xn each with pdf 20xe -0x² x > 0, 9 f(x|0) 0, otherwise. Here> 0 is an unknown parameter. We are going to do a Bayesian analysis. As prior on the parameter we use a Gamma(a, X)-distribution, with some fixed choices for a, λ > 0. (a) Determine the posterior density up to a normalizing constant. (b) Which common distribution is the posterior? (c) Determine the posterior mean B. (Use the table of expectations in the Ap- pendix of the book.) =
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