It is not inevitable that all propositions should have probabilities. That depends on what one
means by probability, a point to which I'll return. The claim that all propositions have …

A fruitful discussion on the subject requires, first of all, to disentangle it from the difficulties
arising whenever single aspects are considered separately, as unconnected technicalities …

Bayesianism is a powerful current of thought in quite a number of different areas, which
include: artificial intelligence, decision theory, economics, philosophy of science, and …

The advent of formal definitions of the simplicity of a theory has important implications for
model selection. But what is the best way to define simplicity? Forster and Sober ([1994]) …

The central problem with Bayesian philosophy of science is that it cannot take account of the
relevance of simplicity and unification to confirmation, induction, and scientific inference. The …

The main thrust of John Watkins's paper (Watkins, 1977) is criticism of the Bayesian
approach. The strange thing is that he never even mentions the standard arguments for the …

Abstract Richard Swinburne: Introduction Elliott Sober: Bayesianism-its scopes and limits
Colin Howson: Bayesianism in Statistics AP Dawid: Bayes's Theorem and Weighing …

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 …

The ingratiating title notwithstanding, this is in no standard sense a text but a monograph,
based largely upon the authors' research over a period of years, and intended to be read by …

Good theory and good practice go hand in hand. Theory that does not have practical
application is under-developed. Practice that is not supported by a sound theory is often …