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

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 ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

Neuroscientists have found the neural wiring underlying predictive eye-tracking of movements and watched in monkeys as the circuit is set to predict a given speed. They say the neurons of the brain's ...

Researchers have introduced a statistical model designed to predict disease from microbiome data pooled across many studies, ...

The "replication crisis" refers to a problem in the sciences where findings from previous experiments don't hold up when studies are repeated. It is a particular issue for those in the behavioral ...