Extreme Value Theory for Time Series

Name: Extreme Value Theory for Time Series
Brand: Springer, Berlin
SKU: 9783031591556
Price: 732.71 PLN
Availability: InStock

Models with Power-Law Tails

Autor: Thomas Mikosch, Olivier Wintenberger

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

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This book deals with extreme value theory for univariate and multivariate time series models charact...

Informacje o książce

Autor

Thomas Mikosch, Olivier Wintenberger

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2024

strony

743

EAN

9783031591556

Enbook ID

45484177

Wydawca

Springer, Berlin

Waga

1269

Wymiary

155 x 235

Pełny opis

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails. These include the classical ARMA models with heavy-tailed noise and financial econometrics models such as the GARCH and stochastic volatility models.Rigorous descriptions of power-law tails are provided through the concept of regular variation. Several chapters are devoted to the exploration of regularly varying structures.The remaining chapters focus on the impact of heavy tails on time series, including the study of extremal cluster phenomena through point process techniques.A major part of the book investigates how extremal dependence alters the limit structure of sample means, maxima, order statistics, sample autocorrelations. This text illuminates the theory through hundreds of examples and as many graphs showcasing its applications to real-life financial and simulated data.The book can serve as a text for PhD and Master courses on applied probability, extreme value theory, and time series analysis.It is a unique reference source for the heavy-tail modeler. Its reference quality is enhanced by an exhaustive bibliography, annotated by notes and comments making the book broadly and easily accessible.

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Extreme Value Theory for Time Series

Models with Power-Law Tails

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