Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory
DOI10.1214/20-AOAS1355zbMath1483.62186arXiv1908.03107MaRDI QIDQ2044257
Anna Kiriliouk, Philippe Naveau
Publication date: 4 August 2021
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1908.03107
extreme eventsmultivariate generalized Pareto distributionprobability of causationPearl counterfactual theory
Multivariate distribution of statistics (62H10) Computational methods for problems pertaining to statistics (62-08) Applications of statistics to environmental and related topics (62P12) Statistics of extreme values; tail inference (62G32) Climate science and climate modeling (86A08)
Related Items (2)
Uses Software
Cites Work
- Likelihood estimators for multivariate extremes
- The generalized Pareto process; with a view towards application and simulation
- A hierarchical model for serially-dependent extremes: a study of heat waves in the western US
- Multivariate generalized Pareto distributions
- Residual life time at great age
- Statistical inference using extreme order statistics
- Multivariate generalized Pareto distributions: parametrizations, representations, and properties
- Multivariate peaks over thresholds models
- Peaks-over-threshold stability of multivariate generalized Pareto distributions
- Finding Groups in Data
- High-dimensional peaks-over-threshold inference
- Statistics of Extremes
- Computation of extreme heat waves in climate models using a large deviation algorithm
- Extremal behaviour of aggregated data with an application to downscaling
- An introduction to statistical modeling of extreme values
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory