Inbunden, Engelska, 2020
Heavy-Tailed Time Series
Av Rafal Kulik, Philippe Soulier
939 kr
Skickas inom 10-15 vardagar
Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2020-07-02
- Mått: 155 x 235 x 41 mm
- Vikt: 1 282 g
- Format: Inbunden
- Språk: Engelska
- Antal sidor: 681
- Förlag: Springer-Verlag New York Inc.
- Serie: Springer Series in Operations Research and Financial Engineering
- ISBN: 9781071607350
Utforska kategorier
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.