Applied Extreme Value Theory (Paperback)

Elis Monroe

ISBN 13: 9798266522947
Editorial: Independently Published, 2025
Nuevos Paperback

Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

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Descripción

Descripción:

Paperback. Applied Extreme Value Theory: Modeling Rare Events in Finance, Climate, and Risk is a practical guide for analysts, scientists, and policymakers who need to understand and manage extreme events. From market crashes and catastrophic floods to major insurance losses, this book turns complex statistical theory into actionable tools.Covering sixteen chapters, it begins with foundational probability concepts and the Extremal Types Theorem before moving into core techniques such as Block Maxima and Peaks-Over-Threshold modeling, parameter estimation, diagnostics, and multivariate extensions. Applications are explored in finance, climate science, and risk management, including value-at-risk calculations, stress testing, heatwave projections, and reinsurance pricing.With hands-on implementations in R and Python, detailed case studies, and discussions on non-stationarity and ethical considerations, this book empowers readers to quantify tail risks and make informed, resilient decisions in an uncertain world.Practical guidance on modeling rare events in finance, climate, and risk managementStep-by-step instructions for Block Maxima and Peaks-Over-Threshold methodsParameter estimation, diagnostics, and multivariate extensionsReal-world case studies using R and PythonInsights on non-stationarity, ethics, and emerging research frontiers This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de ref. del artículo 9798266522947

Denunciar este artículo

Sinopsis:

Applied Extreme Value Theory: Modeling Rare Events in Finance, Climate, and Risk is a practical guide for analysts, scientists, and policymakers who need to understand and manage extreme events. From market crashes and catastrophic floods to major insurance losses, this book turns complex statistical theory into actionable tools.

Covering sixteen chapters, it begins with foundational probability concepts and the Extremal Types Theorem before moving into core techniques such as Block Maxima and Peaks-Over-Threshold modeling, parameter estimation, diagnostics, and multivariate extensions. Applications are explored in finance, climate science, and risk management, including value-at-risk calculations, stress testing, heatwave projections, and reinsurance pricing.

With hands-on implementations in R and Python, detailed case studies, and discussions on non-stationarity and ethical considerations, this book empowers readers to quantify tail risks and make informed, resilient decisions in an uncertain world.

  • Practical guidance on modeling rare events in finance, climate, and risk management

  • Step-by-step instructions for Block Maxima and Peaks-Over-Threshold methods

  • Parameter estimation, diagnostics, and multivariate extensions

  • Real-world case studies using R and Python

  • Insights on non-stationarity, ethics, and emerging research frontiers

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Applied Extreme Value Theory (Paperback)
Editorial: Independently Published
Año de publicación: 2025
Encuadernación: Paperback
Ilustrador: Monroe, Elis
Condición: new

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