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 ...
BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...
Bayesian modelling of spatial processes provides a coherent framework for inferring complex patterns in data that vary across geographical space. Central to this approach is the specification of a ...
Bayesian spatial survival modelling combines probabilistic time-to-event analysis with spatial correlation structures to improve inference on how risk varies across locations. At its core, the ...
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