Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

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

Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...

Bayesian inference in phylogenetic dynamics integrates genetic data with models of evolutionary and population processes to reconstruct the history and tempo of lineage diversification. By combining ...

Groundwater in many areas of the U.S. and across the globe is being depleted as pumping for drinking water and agriculture ...