Bayesian modeling of multivariate spatial-temporal processes with applications.
Modeling and analysis for spatially-referenced survival data.
Bayesian inference on spatial gradients and detecting zones of rapid change.
Modeling and inference for large, or massive, spatial-temporal data sets
Bayesian disease mapping and spatial boundary analysis.
Bayesian modeling and statistical learning from mechanistic systems
Case studies
Computational methods, algorithms and statistical software development.
