We can think of belief as an all-or-nothing affair. For example, I believe that I am alive, and I
don't believe that I am a historian of the Mongol Empire. However, often we want to make …

Bayesian ideas have recently been applied across such diverse fields as philosophy,
statistics, economics, psychology, artificial intelligence, and legal theory. Fundamentals of …

Bayesian ideas have recently been applied across such diverse fields as philosophy,
statistics, economics, psychology, artificial intelligence, and legal theory. Fundamentals of …

There is one sense in which Bayes' theorem, and its use in statistics and in scientific
inference, is clearly uncontroversial. It is an authentic, certified, theorem of the probability …

Probabilistic models have much to offer to philosophy. We continually receive information
from a variety of sources: from our senses, from witnesses, from scientific instruments. When …

Bayesianism is a popular position (or perhaps, positions) in the philosophy of science,
epistemology, statistics, and other related areas, which represents belief as coming in …

Bayesian inference is one of the more controversial approaches to statistics. The
fundamental objections to Bayesian methods are twofold: on one hand, Bayesian methods …

Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of
knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after …

Bayesianism-in thinking about issues and problems related to the law of evidence. But, at
the same time, this use has been challenged to various degrees and in various ways by …

In Bayesian epistemology, the problem of the priors is this: How should we set our
credences (or degrees of belief) in the absence of evidence? That is, how should we set our …