Abstract This Primer examines Skilling's nested sampling algorithm for Bayesian inference
and, more broadly, multidimensional integration. The principles of nested sampling are …

Bayesian model averaging (BMA) provides a coherent and systematic mechanism for
accounting for model uncertainty. It can be regarded as an direct application of Bayesian …

We report multiple lines of evidence for a stochastic signal that is correlated among 67
pulsars from the 15 yr pulsar timing data set collected by the North American Nanohertz …

Abstract The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package
has become a primary tool for Bayesian phylogenetic and phylodynamic inference from …

The ongoing SARS-CoV-2 pandemic has seen an unprecedented amount of rapidly
generated genome data. These data have revealed the emergence of lineages with …

Determining the most suitable model for phylogeny reconstruction constitutes a fundamental
step in numerous evolutionary studies. Over the years, various criteria for model selection …

Thirty years after the discovery of HIV-1, the early transmission, dissemination, and
establishment of the virus in human populations remain unclear. Using statistical …

Bayesian inference has found widespread application and use in science and engineering
to reconcile Earth system models with data, including prediction in space (interpolation) …

We describe updates and improvements to the BayesWave gravitational wave transient
analysis pipeline, and provide examples of how the algorithm is used to analyze data from …

Zika virus (ZIKV) is causing an unprecedented epidemic linked to severe congenital
abnormalities,. In July 2016, mosquito-borne ZIKV transmission was reported in the …