A variety of methods have been developed in recent years for Bayesian inferences that identify such network-structured predictors in a regression setting. However, crucial sparsity selection ...

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, ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...