We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables …

rather than another.In this paper, we develop a theory for ranking distribution functions. Our theory offers a general … distribution theory for empirical dominance criteria where it is demonstrated that the associated empirical processes converge in …

preregistered study that administered an incentivized Bayesian choice task to n=465 participants (self-reported gamblers and non …-gamblers). Our data failed to support our main hypotheses that experienced online gamblers would be more accurate Bayesian decision …. Specifically, more frequent online gamblers had lower Bayesian accuracy than infrequent gamblers. Also, those scoring higher in a …

administration of a Bayesian choice task. The specific task used discriminates between Bayesian choices that coincide with more … behavioral results are that sleepy subjects are more likely to make a Bayesian inaccurate decision and more likely to make …

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical … applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo …

of stocks and shares. To be specific, we develop a Bayesian statistical framework to simultaneously explore both sides of …

Bayesian Updating is the dominant theory of learning in economics. The theory is silent about how individuals react to … analyze the unknown. In particular, we test if subjects update their beliefs in a way that is consistent "reverse Bayesian … less from the reverse Bayesian updating than from the usual Bayesian updating. We provide further evidence on the …