vector of observed variances

A vector of bin boundaries, if scalar then v equally spaced bins are constructed

vector of shape parameters corresponding to x

replicate weights for x obervations, should sum to 1

optional parameters passed to KWDual to control optimization

midpoints of the bin boundaries

estimated function values of the mixing density

function values of the mixture density at the observed x's.

the value of the log likelihood at the solution

Bayes rule estimates of

the Mosek convergence status.