Regression models for the full distribution to exceedance data

DOI10.1080/02664763.2022.2153812MaRDI QIDQ6547177

Unnamed Author, Fernando Ferraz do Nascimento

Publication date: 30 May 2024

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

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Time-varying extreme pattern with dynamic models
• A hybrid Pareto model for asymmetric fat-tailed data: the univariate case
• A semiparametric Bayesian approach to extreme value estimation
• Model-based geostatistics.
• A flexible extreme value mixture model
• Statistical inference using extreme order statistics
• Estimating the dimension of a model
• A dynamical mixture model for unsupervised tail estimation without threshold selection
• Limiting forms of the frequency distribution of the largest or smallest member of a sample.
• Accounting for the threshold uncertainity in extreme value estimation
• Bayesian analysis of extreme events with threshold estimation
• Bayesian Measures of Model Complexity and Fit
• A default Bayesian approach for regression on extremes
• An introduction to statistical modeling of extreme values

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