Extreme Value Modeling and Risk Analysis:Methods and Applications

图书简介

This book presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. It brings together background material and advanced topics, eliminating the need to sort through the massive amount of literature on the subject. The book connects statistical/mathematical research with critical decision and risk assessment/management applications. It explores novel applications of extreme value modeling, including financial investments, climate disasters, clinical trials, and sports. Computer code is available on the editors’ website.

Univariate Extreme Value Analysis. Multivariate Extreme Value Analysis. Univariate Extreme Value Mixture Modeling. Threshold Selection in Extreme Value Analysis. Threshold Modeling of Nonstationary Extremes. Block-Maxima of Vines. Time Series of Extremes. Max-Autoregressive and Moving Maxima Models for Extremes. Spatial Extremes and Max-Stable Processes. Simulation of Max-Stable Processes. Conditional Simulation of Max-Stable Processes. Composite Likelihood for Extreme Values. Bayesian Inference for Extreme Value Modeling. Modeling Extremes Using Approximate Bayesian Computation. Estimation of Extreme Conditional Quantiles. Extreme Dependence Models. Nonparametric Estimation of Extremal Dependence. An Overview of Nonparametric Tests of Extreme-Value Dependence and of Some Related Statistical Procedures. Extreme Risks of Financial Investments. Interplay of Insurance and Financial Risks with Bivariate Regular Variation. Weather and Climate Disasters. The Analysis of Safety Data from Clinical Trials. Analysis of Bivariate Survival Data Based on Copulas with Log Generalized Extreme Value Marginals. Change Point Analysis of Top Batting Average. Computing Software.

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Extreme Value Modeling and Risk Analysis:Methods and Applications 极值建模与风险解析：方法与应用 概率论

Extreme Value Modeling and Risk Analysis:Methods and Applications

极值建模与风险解析：方法与应用
概率论