Improved threshold diagnostic plots for extreme value analyses
By Paul Northrop, Claire L. Coleman. Extremes, 2014
55 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/92c558e2cf16f27f82269dbbae6b49eb45acb76f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Xuebin Zhang
- Jun Yan
- Brian Bader
- Philip Jonathan
- N. Attalides
- Thomas Opitz
- Jonathan Koh
- Franccois Pimont
In Global and Planetary Change
- Xuebin Zhang
- Jun Yan
- Brian Bader
- Philip Jonathan
- N. Attalides
- Jonathan Koh
- Franccois Pimont
- Jean-Luc Dupuy
Citations in the corpus
- Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (2021, methodology): “We use multiple statistical tests (Northrop & Coleman 2014) to test the null hypotheses that the data come from a common truncated GPD on all intervals (vk, vk+1), k = 1, . . . ,m, where vm+1 =∞.”
- Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate (2018, methodology): “, Northrop and Coleman (2014), Wadsworth (2016)] for the GPD to the exceedances over each candidate threshold in an increasing order.”
- Cross‐validatory extreme value threshold selection and uncertainty with application to ocean storm severity (2015, methodology): “The plots in the bottom row of Figure 2 are based on Northrop and Coleman (2014).”