Discussion of ``Estimating the historical and future probabilities of large terrorist events by Aaron Clauset and Ryan Woodard

DOI10.1214/13-AOAS614DzbMath1454.62144arXiv1401.2308MaRDI QIDQ5971204

Jeff Gill

Publication date: 28 March 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.2308

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric estimation (62G05) Statistics of extreme values; tail inference (62G32) Nonparametric statistical resampling methods (62G09) History, political science (91F10)

Uses Software

• bootstrap
• plfit

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Likelihood-based inference for stochastic models of sexual network formation
• Optimal choice of sample fraction in extreme-value estimation
• Selecting the optimal sample fraction in univariate extreme value estimation
• On the non-parametric prediction of conditionally stationary sequences
• Robust confidence bounds for extreme upper quantiles
• Model Selection and Model Averaging
• On the Generalization Ability of On-Line Learning Algorithms
• Power-Law Distributions in Empirical Data
• Frequentist Model Average Estimators
• Deterministic Nonperiodic Flow
• Bayes Factors
• Heavy-Tail Phenomena
• The Return Period of Flood Flows
• Using a bootstrap method to choose the sample fraction in tail index estimation

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