Compute Posterior
Return the posterior on beta given a prior (g) that is a mixture of normals (class normalmix) and observation betahat ~ N(beta,sebetahat)
posterior_dist(g, betahat, sebetahat)
g |
a normalmix with components indicating the prior; works only if g has means 0 |
betahat |
(n vector of observations) |
sebetahat |
(n vector of standard errors/deviations of observations) |
This can be used to obt
A list, (pi1,mu1,sigma1) whose components are each k by n matrices where k is number of mixture components in g, n is number of observations in betahat
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