In the Bayesian paradigm, a common method for comparing two models is to compute the Bayes factor, defined as the ratio of their respective marginal likelihoods. In recent phylogenetic works, the ...

The rapid accumulation of genome sequence data has made phylogenetics an indispensable tool to various branches of biology. However, it has also posed considerable statistical and computational ...

There's nothing to get a scientist's heart pumping like a good, old-fashioned statistical debate. When it comes to topics like finding Earth analogs or hints of a biosignature in an atmosphere, those ...

Approximate Bayesian computation has become an essential tool for the analysis of complex stochastic models when the likelihood function is numerically unavailable. However, the well-established ...

Whether in everyday life or in the lab, we often want to make inferences about hypotheses. Whether I’m deciding it’s safe to run a yellow light, when I need to leave home in order to make it to my ...

I am putting myself to the fullest possible use, which is all I think that any conscious entity can ever hope to do. ~ Hal The Bayesians want us to be Bayesians (e.g, Krueger, 2017). This is just as ...

The stock market is an ever-changing place. In fact, it’s changing every second of every day as prices go up and down, and new factors impact the trajectory of the market. It’s important for investors ...