The Bayesian method is noted to produce spuriously high posterior probabilities for phylogenetic trees in analysis of large datasets, but the precise reasons for this overconfidence are unknown. In ...

This article discusses possible reasons why posterior clade probabilities obtained from Bayesian phylogenetic analyses might be inaccurate. It attempts to list all ...

Synthese, Vol. 57, No. 3, Rationality and Objectivity: Philosophical and Psychological Conceptions, Part II (Dec., 1983), pp. 341-365 (25 pages) It is argued that we need a richer version of Bayesian ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...

This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

Everyone who spends time with children knows how incredibly much they learn. But how can babies and young children possibly learn so much so quickly? In a recent article in Science, I describe a ...