Question: Suppose that f ( x | theta , sigma ) is normal with mean theta and standard deviation sigma . The

Suppose that f(x |\theta ,\sigma ) is normal with mean \theta and standard deviation \sigma . The Jeffrey's prior for \theta and \sigma are shown below. a. What is the posterior distribution \pi (\theta | x,\sigma ) using the Jeffrey's prior below:
p(\theta )=1,\theta in R
b. What is the posterior distribution \pi (\sigma | x,\theta ), using the Jeffrey's prior below:
p(\sigma )=1/\sigma ^',\sigma >0

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