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Anotace knihy

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 unique 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 weak and vague convergence.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Heavy-Tailed Time Series
• Autor: Philippe Soulier, Rafal Kulik
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 681
• EAN: 9781071607350
• ID: 28235714
• Nakladatelství: Springer, Berlin
• Hmotnost: 1337 g
• Rozměry: 240 × 167 × 41 mm
• Rok vydání: 2020

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