The term “Bayesian” covers a broad territory and subsumes many disputes [1]. For one
pertinent example, it is possible to be “Bayesian”—to accept that probabilities are …

Bayesian decision theory in its classical formulation supposes that for any rational agent and
for any possible state x of the world, there is a number P (x). which represents the agent's …

On the Bayesian view, belief is not just a binary, on-off matter. Bayesians model agents not
as simply categorically believing or disbelieving propositions, but rather as having degrees …

Bayesian epistemology is marked by a scruple for compliance with the probability axioms.
One cornerstone of Bayesian epistemology is the doctrine of personalism, the view …

Bayesian epistemology is marked by a scruple for compliance with the probability axioms.
One cornerstone of Bayesian epistemology is the doctrine of personalism, the view …

QBism is a recently developed version of Quantum Bayesianism. QBists think that the
primitive concept of experience is the central subject of science. QBism refuses the idea that …

Motivating Objective Bayesianism: From Empirical Constraints to Objective Probabilities Page 1
Motivating Objective Bayesianism: From Empirical Constraints to Objective Probabilities Jon …

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 …

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 …

Gordon Belot (2013) has recently developed a novel argument against Bayesianism. He
shows that there is an interesting class of problems that, intuitively, no rational belief forming …