JSTOR Daily

Bayesian selection of misspecified models is overconfident and may cause spurious posterior probabilities for phylogenetic trees

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 ...
JSTOR Daily

Bayesian Decision Theory, Subjective and Objective Probabilities, and Acceptance of Empirical Hypotheses

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 ...
Nature

Bayesian Additive Regression Trees

Bayesian Additive Regression Trees (BART) is a nonparametric ensemble method that models complex relationships by summing a collection of decision trees, each operating as a weak learner. The Bayesian ...
inc42

What Are Bayesian Networks? Here’s All You Need to Know

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 ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

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 ...
Investopedia

How to Use a Tree Diagram for Probability and Decision-Making

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...