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Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations
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Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations

Likun Zhang
B. Shaby
J. Wadsworth
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations"

2 / 2 papers shown
Title
Neural Bayes estimators for censored inference with peaks-over-threshold models
Neural Bayes estimators for censored inference with peaks-over-threshold models
J. Richards
Matthew Sainsbury-Dale
A. Zammit‐Mangion
Raphael Huser
460
10
0
27 Jun 2023
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
Emma S. Simpson
Thomas Opitz
J. Wadsworth
85
16
0
09 Nov 2020