Reparameterization of extreme value framework for improved Bayesian workflow-Reference-Cited by-同舟云学术

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Reparameterization of extreme value framework for improved Bayesian workflow

Published:2023-11 Issue: Volume:187 Page:107807
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Moins Théo,Arbel Julyan,Girard Stéphane^ORCID,Dutfoy Anne

Funder

BNP Paribas Cardif

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference49 articles.

1. Estimation des limites d'extrapolation par les lois de valeurs extrêmes. Application à des données environnementales;Albert,2018

2. An extreme quantile estimator for the log-generalized Weibull-tail model;Albert;Econom. Stat.,2020

3. Hamiltonian Monte Carlo for hierarchical models;Betancourt,2015

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Methods for Step-Stress Accelerated Test under Gamma Distribution with a Useful Reparametrization and an Industrial Data Application;Mathematics;2024-09-04

2. A Clustering and PL/SQL-Based Method for Assessing MLP-Kmeans Modeling;Computers;2024-06-09

3. A modeler’s guide to extreme value software;Extremes;2023-08-03

4. On the Use of a Local Rˆ to Improve MCMC Convergence Diagnostic;Bayesian Analysis;2023-01-01

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