A Poisson process reparameterisation for Bayesian inference for extremes
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Publication:1675703
DOI10.1007/s10687-016-0280-2zbMath1373.60091arXiv1605.03508OpenAlexW2385807390WikidataQ59614310 ScholiaQ59614310MaRDI QIDQ1675703
Paul Sharkey, Jonathan A. Tawn
Publication date: 2 November 2017
Published in: Extremes (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1605.03508
Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Extreme value theory; extremal stochastic processes (60G70) Statistics of extreme values; tail inference (62G32)
Uses Software
Cites Work
- Accounting for choice of measurement scale in extreme value modeling
- Statistical inference using extreme order statistics
- Optimal scaling for various Metropolis-Hastings algorithms.
- Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. With comments and a rejoinder by the author
- Posterior propriety in Bayesian extreme value analyses using reference priors
- On Halley's Iteration Method
- Maximum likelihood estimation in a class of nonregular cases
- Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
- Generalized Additive Modelling of Sample Extremes
- Introducing Monte Carlo Methods with R
- An introduction to statistical modeling of extreme values
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