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 ...

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 ...

Demetris Lamnisos, Jim E. Griffin, Mark F. J. Steel, Transdimensional Sampling Algorithms for Bayesian Variable Selection in Classification Problems With Many More Variables Than Observations, Journal ...