Bayes Factor for Model Choice

Abstract This chapter addresses the problem of discrimination between competing propositions regarding selected features a population interest, also commonly known as “hypothesis testing”. Examples include counting processes when refer to proportion items in given that show forensic interest (e.g., with illegal content). Another typical example is concentration controlled substance, such drugs blood, exceeding threshold. develops and explains use Bayes factor for one-sided hypothesis testing involving model parameters form mean. In both situations, additional factors errors) are considered well aspects decision making.