between rational and irrational beliefs. Relatedly, the Bayesian approach, when applied to the Grand State Space, is … because there are many situations in which there is not sufficient information for an individual to generate a Bayesian prior …. It follows that the Bayesian approach is neither sufficient not necessary for the rationality of beliefs. …

we use the Bayesian penalized approach to stochastic frontiers developed in Hajargasht et al. (2003). Finally we …

A general Bayesian Markov Chain Monte Carlo methodology is utilized for conducting an analysis of the intensity process …

process by which beliefs are generated and justified. We argue that the Bayesian approach is unsatisfactory for this purpose …, for several reasons. First, the Bayesian approach begins with a prior, and models only a very limited form of learning …, namely, Bayesian updating. Thus, it is inherently incapable of describing the formation of prior beliefs. Second, there are …

Economic modeling assumes, for the most part, that agents are Bayesian, that is, that they entertain probabilistic …

Economic modeling assumes, for the most part, that agents are Bayesian, that is, that they entertain probabilistic …

can be handled easily in Bayesian inference. A new Markov Chain Monte Carlo algorithm is introduced and proves to work …