homework3 for Bayesian inference

 
(1)    Θ|X ~N(169,11 2)   , so the 95% HDR for this distribution is [169-1.96*11,169+1.96*11], that is[147.44,190.56]
(2)     
 
If l(θ|x) exp{1/-2φ*(x-θ)2} ,for different data ,the shapes of the likelihood function are
homework3 for Bayesian inference_第1张图片
 
We can see the shapes are same ,but the locations are changed.
 
Let φ = 1/θ, the shapes of l(φ|x) are

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