Luigi Acerbi develops new methods for approximate Bayesian inference that are both tools for artificial intelligence and models of human intelligence. “We develop new “smart” machine learning methods, ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American Right now, your brain is decoding these ...