Hoogerheide, L.F.

density model distribution candidate sampling network method education mixture function parameter value approach bayesian result student-t algorithm importance instrument target kernel likelihood effect estimate variable sample approximation weight candidate density journal figure importance sampling mitisem component number regression student-t distributions income target density example probability hoogerheide matrix estimator quarter i m þ table error region estimation analysis adaptive chain section 0.2 return student target distribution state à1 ð b density kernel simulation point shape jeffrey iv model vector endogeneity procedure birth school forecast garch carlo monte order candidate distribution econometrics equation observation