Heavy-Tailed Time Series

Heavy-Tailed Time Series

Author
Rafal Kulik, Philippe Soulier
Publisher
Springer New York;Springer
Language
English
Edition
1st ed.
Year
2020
Page
XIX, 681
ISBN
9781071607350,9781071607374
File Type
pdf
File Size
9.0 MiB

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 chapter’s 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.

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