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. For implementation the Bayesian and likelihood procedures would perhaps require the same numerical computations, while the … Bayesian literature, with many variations and some preference for two versions labelled pppost and pcpred. The bootstrap method … also directly addresses this Studentization process. We use recent likelihood theory that gives a third order factorization …
Persistent link: https://www.econbiz.de/10009002740
. For implementation the Bayesian and likelihood procedures would perhaps require the same numerical computations, while the … Bayesian literature, with many variations and some preference for two versions labelled pppost and pcpred. The bootstrap method … also directly addresses this Studentization process. We use recent likelihood theory that gives a third order factorization …
Persistent link: https://www.econbiz.de/10010905315
theoreticians that Bayesian methods were absurd—not merely misguided but obviously wrong in principle. We consider several examples …, beginning with Feller's classic text on probability theory and continuing with more recent cases such as the perceived Bayesian … about Bayesian statistics, without aiming at a complete historical coverage of the reasons for this dismissal. …
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Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. It is shown here that unless the sample size reaches several thousands of observations the shape parameter of the gamma density is hard to estimate, and that this carries over to estimates of the...
Persistent link: https://www.econbiz.de/10011155017
This paper develops a new computationally attractive procedure for estimating dynamic discrete choice models that is applicable to a wide range of dynamic programming models. The proposed procedure can accommodate unobserved state variables that (i) are neither additively separable nor follow...
Persistent link: https://www.econbiz.de/10008873245