Bayesian geoadditive modelling of climate extremes

What is it about?

Bayesian hierarchical approach to spatial-temporal modeling of climate extremes following the GEV distribution, such as annual maximum and minimum temperatures and maximum daily precipitation, using thin plate regression splines to represent both the statial patterns and the spatially-varying coefficients of time variables.

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Why is it important?

For the first time we implemented such a model in the Bayesian framework by using JAGS.