Zellner, A.

model density distribution instrument iv model matrix method parameter bayesian analysis variable equation zellner sampling approach monte carlo carlo regressor monte value moment ardmc function number student-t gibbs sampler candidate simulation example econometrics result fication posterior likelihood section regression figure error factor ratio fficient university procedure mapping drawing kernel vector ·10−3 sample sampler specification issue shape exogeneity fi rst coe fficients multivariate coefficient restriction institute data sets case 1 journal importance sampling simulation results paper t-density condition bene fits acceptance-rejection identi element covariance matrix iv models deviation 0.2 point property identi fied model dmc method