Bayesian methods have significantly enhanced the analysis of complex data structures, such as semicontinuous outcomes and zero-inflated observations, by providing coherent inferences and more ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...

Observational data, although readily available, is sensitive to biases such as confounding by indication. Structure learning algorithms for Bayesian Networks (BNs) can be used to discover the ...

Silvia Montagna, Tor Wager, Lisa Feldman Barrett, Timothy D. Johnson, Thomas E. Nichols, Spatial Bayesian Latent Factor Regression Modeling of Coordinate-Based Meta-Analysis Data, Biometrics, Vol. 74, ...

In any case, my focus here is not on the pretty maps but rather on the modeling technology–the impressive ability of Bayesian data analysis to give reasonable estimates for all these subgroups.