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Heavy-Tailed Time Series

Overview of attention for book
Cover of 'Heavy-Tailed Time Series'

Table of Contents

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    Book Overview
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    Chapter 1 Regularly varying random variables
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    Chapter 2 Regularly varying random vectors
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    Chapter 3 Dealing with extremal independence
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    Chapter 4 Regular variation of series and random sums
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    Chapter 5 Regularly varying time series
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    Chapter 6 Convergence of clusters
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    Chapter 7 Point process convergence
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    Chapter 8 Convergence to stable and extremal processes
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    Chapter 9 The tail empirical and quantile processes
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    Chapter 10 Estimation of cluster functionals
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    Chapter 11 Estimation for extremally independent time series
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    Chapter 12 Bootstrap
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    Chapter 13 Max-stable processes
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    Chapter 14 Markov chains
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    Chapter 15 Moving averages
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    Chapter 16 Long memory processes
Attention for Chapter 11: Estimation for extremally independent time series
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