How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

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

The Bayesian method for estimating species phylogenies from molecular sequence data provides an attractive alternative to maximum likelihood with nonparametric bootstrap due to the easy interpretation ...

In this paper, we explore the use of Laplace's method for approximation of integrals (see for example, Tierney and Kadane, JASA 81 (1986), 82-86) to obtain marginal posterior densities and posterior ...

In fact, as is demonstrated below, modern Bayesian methods often place explicit prior probabilities on alternative likelihood functions to calculate their posterior probability given the data.

Bayesian statistics is a statistical approach that, even when data are insufficient, derives the probability of an event occurring by first setting a prior probability and then, whenever new ...

Bayesian analysis plays an essential role in calculations of genetic risk. 1 – 3, 10 We previously developed generalizable Bayesian methods to calculate autosomal recessive disease risk when ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...