In this paper, I argue that this conclusion is premature—the Bayesian objection can survive the transition from classical to intuitionistic probability, albeit in a slightly altered form. I shall ...

Bayesian probability is better than other future-predicting systems because it also is one of the few methods that accounts for how unpredictable humans really are.

First, probability is interpreted subjectively as “credence” — a reasonable quantification of personal belief about the possibility of an outcome; second, when reliable frequency data are available, ...

We argue that, in fact, this variability implies that populations of neurons automatically represent probability distributions over the stimulus, a type of code we call probabilistic population codes.

Prior probability, in Bayesian statistical inference, is the probability of an event based on established knowledge, before empirical data is collected.

How do you shape perception ethically when storytelling beats facts? Here is a case for ethical storytelling in our current ...

Ziheng Yang, Bruce Rannala, Branch-Length Prior Influences Bayesian Posterior Probability of Phylogeny, Systematic Biology, Vol. 54, No. 3 (Jun., 2005), pp. 455-470 ...