Bayesian decision theory is a mathematical framework that models reasoning and decision-making under uncertain conditions. The Bayesian paradigm originated as a theory of how people should operate, ...

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multi-region ...

GUIDE is a Bayesian framework that leverages simulation-based inference to efficiently estimate posterior distributions of any forward model parameters, allowing for uncertainty quantification and ...

A research team behind a new study at the Hebrew University of Jerusalem has made an important breakthrough in understanding ...

and models involving endogenous variables. “This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature that will be very helpful ...