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Uncertainty quantification
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Bayesian Extremes: Markov Chain Monte Carlo
Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.
Spatial Continuous Phenomena, Sampling
Explores sampling procedures for analyzing continuous geographical phenomena and their importance in reducing prediction uncertainty.
