In Bayesian hierarchical modeling, it is often appealing to allow the conditional density of an (observable or unobservable) random variable Y to change flexibly with categorical and continuous ...

His point is that Bayesian inference, in particular, can add crucial clarity to complex decisions. Many AI/ML algorithms are very productive and can offer significant value, provided organizations are ...

This article considers a Bayesian approach to the multistate extension of the Jolly-Seber model commonly used to estimate population abundance in capture-recapture studies. It extends the work of ...