A new EEG and hierarchical Bayesian modeling study shows that task conditions dominate perceptual decisions in the ...
Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...
This Primer examines Skilling’s nested sampling algorithm for Bayesian inference and, more broadly, multidimensional ...
This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...
Probabilities that created rebels, hidden signatures, unrecorded drivers, inbox gatekeepers, and those who predict the futureIn Part 1, Bayesian thinking worked in the deep sea and on the battlefield.
Can mass shootings be forecasted? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within a Bayesian inference framework. In the model, a shooting arises from the ...