Produktbild: Extreme Value Theory for Time Series

Extreme Value Theory for Time Series Models with Power-Law Tails

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2025

Verlag

Springer

Seitenzahl

766

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Sprache

Englisch

ISBN

978-3-031-59158-7

Beschreibung

Rezension

“This is a comprehensive and clearly written monograph, which both consolidates existing knowledge and extends it in significant directions. The exposition is careful and well motivated, with many examples, making it accessible both to newcomers and to readers already familiar with the basics of extreme-value theory. This monograph situates itself naturally among the well-known references in the field of extreme value theory. The book will become an important reference for researchers and graduate students interested in extremes ... .” (Zakhar Kabluchko, Mathematical Reviews, February, 2026)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2025

Verlag

Springer

Seitenzahl

766

Maße (L/B/H)

23,5/15,5/4,2 cm

Gewicht

1165 g

Sprache

Englisch

ISBN

978-3-031-59158-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Extreme Value Theory for Time Series
  • Introduction.- Part 1 Regular variation of distributions and processes.- 2 The iid univariate benchmark.- 3 Regularly varying random variables and vectors.- 4 Regularly varying time series.- 5 Examples of regularly varying stationary processes.- Part 2 Point process convergence and cluster phenomena of time series.- 6 Clusters of extremes.- 7 Point process convergence for regularly varying sequences.- 8 Applications of point process convergence.- Part 3 Infinite variance central limit theory.- 9 Infinite-variance central limit theory.- 10 Self-normalization, sample autocorrelations and the extremogram.- Appendix A Point processes.- Appendix B Univariate regular variation.- Appendix C Vague convergence.- Appendix D Tools.- Appendix E Multivariate regular variation - supplementary results.- Appendix F Heavy-tail large deviations for sequences of independent random variables and vectors, and their applications.-references.- index.- List of abbreviations and symbols.