Suppose that X is a normal random variable with unknown mean and known variance 2 The prior distribution for is a normal distribution with mean 0 and variance 2 0 Show that the Bayes estimator for becomes the maximum likelihood estimator when the sample size n is large ...

From the example the posterior distribution for ...

Suppose that X is a normal random variable with unknown mean and known variance 2

Question:

Suppose that X is a normal random variable with unknown mean μ and known variance σ₂. The prior distribution for μ is a normal distribution with mean μ₀ and variance σ²₀ . Show that the Bayes estimator for μ becomes the maximum likelihood estimator when the sample size n is large.

Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...

Fantastic news! We've Found the answer you've been seeking!