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Q146Section III (Statistics)146 of 190

The likelihood's truncation collapses the posterior to a bounded uniform

Let f(x∣θ)=e−(x−θ)x≥θf(x|\theta)=e^{-(x-\theta)} x\ge\theta and let the prior for θ\theta be given by π(θ)=e−θ0<θ<∞\pi(\theta)=e^{-\theta} 0<\theta<\infty. Then:

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