Heavy-tailed time series / Rafal Kulik, Philippe Soulier.

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Bibliographic Details
Main Author: Kulik, Rafal
Other Authors: Soulier, Philippe, Prof
Format: eBook
Published: New York, NY : Springer, 2020.
Series:Springer series in operations research.
Online Access:Click for online access
Summary:This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, incorporating the latest research trends alongside classical methodology. Appropriate for graduate coursework or professional reference, the book requires a background in extreme value theory for i.i.d. data and basics of time series. Following a brief review of foundational concepts, it progresses linearly through topics in limit theorems and time series models while including historical insights at each chapters conclusion. Additionally, the book incorporates complete proofs and exercises with solutions as well as substantive reference lists and appendices, featuring a novel commentary on the theory of vague convergence.
Physical Description:1 online resource (677 pages)
Bibliography:Includes bibliographical references and index.
Source of Description, Etc. Note:Print version record.