doi.org
Review of: "Variable selection in generalized extreme value regression model using Bootstrap method"
November 2023 • Luca De Angelis
Potential competing interests: No potential competing interests to declare.The paper deals with model selection in Generalized Extreme Value regression models as proposed by Calabrese and Osmetti (2013).The Authors identify the bootstrap algorithm proposed by Austin and Tu (2004) as the method to tackle the issue of the selection of regressors in such models.Albeit being not more than an empirical exercise using the medical data from one case study, the paper is interesting and addresses an important issue.