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evgam: An R package for Generalized Additive Extreme Value Models
v1v2v3 (latest)

evgam: An R package for Generalized Additive Extreme Value Models

9 March 2020
B. Youngman
ArXiv (abs)PDFHTML

Papers citing "evgam: An R package for Generalized Additive Extreme Value Models"

6 / 6 papers shown
Title
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
Antoine Leclerc
Erwan Koch
Monika Feldmann
D. Nerini
Tom Beucler
52
0
0
31 Mar 2025
Asymptotic theory for extreme value generalized additive models
Asymptotic theory for extreme value generalized additive models
Takuma Yoshida
49
0
0
04 Mar 2023
Distributional regression models for Extended Generalized Pareto
  distributions
Distributional regression models for Extended Generalized Pareto distributions
N. L. Carrer
C. Gaetan
85
5
0
10 Sep 2022
A modeler's guide to extreme value software
A modeler's guide to extreme value software
Léo R. Belzile
Christophe Dutang
P. Northrop
Thomas Opitz
57
15
0
16 May 2022
Single-index models for extreme value index regression
Single-index models for extreme value index regression
Takuma Yoshida
10
1
0
11 Mar 2022
Fast and Scalable Inference for Spatial Extreme Value Models
Fast and Scalable Inference for Spatial Extreme Value Models
Mei-Ching Chen
R. Ramezan
Martin Lysy
66
1
0
13 Oct 2021
1