Bootstrapping binary GEV regressions for imbalanced datasets

DOI10.1007/S00180-023-01330-YMaRDI QIDQ6538413

Marialuisa Restaino, Michele La Rocca, Marcella Niglio

Publication date: 14 May 2024

Published in: Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

variable selectionimbalanced dataFRW bootstrapGEV regression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Efficient computation of adjusted \(p\)-values for resampling-based stepdown multiple testing
• Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption
• Bootstrap confidence intervals. With comments and a rejoinder by the authors
• The jackknife and bootstrap
• A simple resampling method by perturbing the minimand
• Flexible generalized t-link models for binary response data
• FORMALIZED DATA SNOOPING BASED ON GENERALIZED ERROR RATES
• Maximum likelihood estimation in a class of nonregular cases
• A New Skewed Link Model for Dichotomous Quantal Response Data
• Comparison of penalized logistic regression models for rare event case
• Modelling small and medium enterprise loan defaults as rare events: the generalized extreme value regression model
• Inferences from logistic regression models in the presence of small samples, rare events, nonlinearity, and multicollinearity with observational data
• Stepwise Multiple Testing as Formalized Data Snooping
• Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
• Applications of the Fractional-Random-Weight Bootstrap
• What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum
• An introduction to statistical modeling of extreme values

This page was built for publication: Bootstrapping binary GEV regressions for imbalanced datasets

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6538413)