Objections to Bayesian statistics

Bayesian Statistics BAYESIAN STATISTICS ∗

Mathematical statistics uses two major paradigms, conventional (or frequentist), and Bayesian. Bayesian methods provide a complete paradigm for both statistical inference and decision making under uncertainty. Bayesian methods may be derived from an axiomatic system, and hence provide a general, coherent methodology. Bayesian methods contain as particular cases many of the more often used frequ...

Learning to Love Bayesian Statistics

Bayesian methods are well-suited for business applications because they provide concrete guidance for making decisions under uncertainty. But myths about the Bayesian approach continue to slow its adoption. In this talk I unpack these myths and explain the pros and cons of Bayesian methods compared to classical statistics.

Objections to hospital philosophers.

Like morally sensitive hospital staff, philosophers resist routine simplification of morally complex cases. Like hospital clergy, they favour reflective and principled decision-making. Like hospital lawyers, they refine and extend the language we use to formulate and defend our complex decisions. But hospital philosophers are not redundant: they have a wider range of principles and categories a...

Conscientious objections to reform.

Bayesian Statistics