This paper is an attempt to reconcile Bayesian and non-Bayesian approaches to statistical inference, by casting both in terms of a broader formalism. In particular, this paper is an attempt to show that when one extends coventional Bayesian analysis to distinguish the truth from one's guess for...

This paper discusses some of the problematic aspects of the Bayesian first-principles ``proof'' of Occam's razor which involves Occam factors. Although it is true that the posterior for a model is reduced due to Occam factors if that model is capable of expressing many functions, the phenomenon...

The Bayesian ``evidence'' approximation, which is closely related to generalized maximum likelihood, has recently been employed to determine the noise and weight-penalty terms for training neural nets. This paper shows that it is far simpler to perform the exact calculation than it is to set up...

We introduce a modification to the two-timescale games studied in the evolution of preferences (EOP) literature. In this modification, the strategic process occurring on the long timescale is learning by an individual across his or her lifetime, not natural selection operating on genomes over...