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Reader Guideline
1. Risk Theory
The Ruin Problem
The Cramer-Lundberg Estimate
Ruin Theory for Heavy-Tailed Distributions
The Cramer-Lundberg for Large Claims
2. Fluctuations of Sums
The Laws of Large Numbers
The Central Limit Problem
Refinements of the CLT
The Functional CLT: Brownian Motion Appears
Random Sums
3. Fluctuations of Maxima
Limit Problems for Maxima
Weak Convergence of Maxima Under Affine Transformations
Maximum Domains of Attraction and and Norming Constants
Generalized Extreme Value Distribution and Generalized Pareto
Distribution
Almost Sure Behavior of Maxima
4. Fluctuations of Upper Order Statistics
Order Statistics
The Limit Distribution of Upper Order Statistics
The Limit Distribution of Randomly Indexed Upper Order Statistics
Some Extreme Value Theory for Stationary Sequences
5. An Approach to Extremes via Point Processes
Basic Facts About Point Processes
Weak Convergence of Point Processes
Point Processes of Exceedances
Applications of Point Process Methods to IID Sequences
Some Extreme Value Theory for Linear Processes
6. Statistical Methods for Extremal Events
Exploratory Data Analysis for Extremes
Parameter Estimation for the Generalized Extreme Value Distribution
Estimating Under Maximum Domain of Attraction Conditions
Fitting Excesses Over a Threshold
7. Time Series Analysis for Heavy-Tailed Processes
A Short Introduction to Classical Time Series Analysis
Heavy-Tailed Time Series
Estimation of the Autocorrelation Function
Estimation of the Power Transfer Function
Parameter Estimation for ARMA Processes
Some Remarks about Heavy0Tailed Nonlinear Models
8. Special Topics
The Extremal Index
A Large Claim Index
When and How Ruin Occurs
Perpetuities and ARCH Processes
On the Longest Success Run
Some Results on Large Deviations
Reinsurance Treaties
Stable Processes
Self Similarity
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