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Can I read Heavy-tailed Time Series (springer Series In Operations Research And Financial Engineering) on EtoBox?

Heavy-tailed Time Series (springer Series In Operations Research And Financial Engineering) by Rafal Kulik, Philippe Soulier is a nonfiction available to read on EtoBox.

What is Heavy-tailed Time Series (springer Series In Operations Research And Financial Engineering) about?

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.

Who reads Heavy-tailed Time Series (springer Series In Operations Research And Financial Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Rafal Kulik, Philippe Soulier
Publisher
Springer New York, Imprint Springer
Published
2020
Language
EN
ISBN
9781071607350
Category
nonfiction
Subjects
Mathematics, Stem

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