Estimating Extreme Drought Risk Through Classical and Bayesian Paradigms
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DOI: 10.1002/joc.8705
Abstract: Drought poses significant challenges to both the environment and the economy, necessitating proactive mitigation strategies. This study introduces both classical and Bayesian Markov Chain Monte Carlo (MCMC) extreme value probabilistic models for quantifying drought risk.… read more here.
Keywords: drought; classical bayesian; estimating extreme; drought risk ... See more keywords
Estimating extreme losses for the Florida Public Hurricane Model—part II
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DOI: 10.1007/s00704-016-2029-x
Abstract: Rising global temperatures are leading to an increase in the number of extreme events and losses (http://www.epa.gov/climatechange/science/indicators/). Accurate estimation of these extreme losses with the intention of protecting themselves against them is critical to insurance… read more here.
Keywords: public hurricane; extreme losses; estimating extreme; model ... See more keywords