Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption

DOI10.1214/10-AOAS354zbMath1220.62165arXiv1101.1373OpenAlexW3100094457MaRDI QIDQ542965

Xia Wang, Dey, Dipak K.

Publication date: 20 June 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1101.1373

zbMATH Keywords

Markov chain Monte Carloposterior distributionskewnesslatent variable

Mathematics Subject Classification ID

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Uses Software

• ismev

Cites Work

• Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption
• The effect of link misspecification on binary regression inference
• Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. With comments and a rejoinder by the author
• Marginal Likelihood from the Gibbs Output
• Observations on Quantit Analysis
• Flexible generalized t-link models for binary response data
• Maximum likelihood estimation in a class of nonregular cases
• On two families of transformations to additivity for binary response data
• Propriety of posterior distribution for dichotomous quantal response models
• A New Skewed Link Model for Dichotomous Quantal Response Data
• Bayesian Measures of Model Complexity and Fit
• Marginal Likelihood From the Metropolis–Hastings Output
• Bayes Factors
• Bayesian Analysis of Binary and Polychotomous Response Data
• Inference in Semiparametric Dynamic Models for Binary Longitudinal Data
• An introduction to statistical modeling of extreme values

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