Advances in statistical modeling of spatial extremes
R Huser, JL Wadsworth - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
The classical modeling of spatial extremes relies on asymptotic models (ie, max‐stable or r‐
Pareto processes) for block maxima or peaks over high thresholds, respectively. However, at …
Pareto processes) for block maxima or peaks over high thresholds, respectively. However, at …
Graphical models for extremes
Conditional independence, graphical models and sparsity are key notions for parsimonious
statistical models and for understanding the structural relationships in the data. The theory of …
statistical models and for understanding the structural relationships in the data. The theory of …
Modeling spatial processes with unknown extremal dependence class
R Huser, JL Wadsworth - Journal of the American statistical …, 2019 - Taylor & Francis
Many environmental processes exhibit weakening spatial dependence as events become
more extreme. Well-known limiting models, such as max-stable or generalized Pareto …
more extreme. Well-known limiting models, such as max-stable or generalized Pareto …
Assessment of the joint impact of extreme rainfall and storm surge on the risk of flooding in a coastal area
B Zellou, H Rahali - Journal of Hydrology, 2019 - Elsevier
In coastal areas, flood events can result from the interaction of several factors such as
rainfall, river flow and the classical tidal asymmetry to mention but a few. Therefore, flood risk …
rainfall, river flow and the classical tidal asymmetry to mention but a few. Therefore, flood risk …
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
This work is motivated by the challenge organized for the 10th International Conference on
Extreme-Value Analysis (EVA2017) to predict daily precipitation quantiles at the 99.8 …
Extreme-Value Analysis (EVA2017) to predict daily precipitation quantiles at the 99.8 …
Spatial extremes
The health consequences of climate variability and change are diverse, potentially affecting
the burden of a wide range of health outcomes, including illnesses and deaths related to …
the burden of a wide range of health outcomes, including illnesses and deaths related to …
[HTML][HTML] Higher-dimensional spatial extremes via single-site conditioning
JL Wadsworth, JA Tawn - Spatial Statistics, 2022 - Elsevier
Currently available models for spatial extremes suffer either from inflexibility in the
dependence structures that they can capture, lack of scalability to high dimensions, or in …
dependence structures that they can capture, lack of scalability to high dimensions, or in …
An evaluation of the consistency of extremes in gridded precipitation data sets
Noting a strong imperative to understand precipitation extremes, and that considerable
uncertainty affects observational data sets, this paper compares the representation of …
uncertainty affects observational data sets, this paper compares the representation of …
Polynomial chaos expansion of random coefficients and the solution of stochastic partial differential equations in the tensor train format
We apply the tensor train (TT) decomposition to construct the tensor product polynomial
chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …
chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …
Efficient modeling of spatial extremes over large geographical domains
Various natural phenomena exhibit spatial extremal dependence at short spatial distances.
However, existing models proposed in the spatial extremes literature often assume that …
However, existing models proposed in the spatial extremes literature often assume that …