A shared spatial model for multivariate extreme-valued binary data with non-random missingness

DOI10.1007/s13571-019-00198-7zbMath1476.62240OpenAlexW2957303065WikidataQ127471907 ScholiaQ127471907MaRDI QIDQ2061742

Lin Zhang, Xiaoyue Zhao, Dipankar Bandyopadhyay

Publication date: 21 December 2021

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-019-00198-7

zbMATH Keywords

spatiallatent variableHamiltonian Monte Carlogeneralized extreme valuenon-random missingnessperiodontal disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Statistics of extreme values; tail inference (62G32)

Related Items (1)

Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian model diagnostics using functional Bregman divergence
• Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption
• A latent factor model for spatial data with informative missingness
• The effect of link misspecification on binary regression inference
• Flexible link functions in nonparametric binary regression with Gaussian process priors
• A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors
• A Semi‐Parametric Shared Parameter Model to Handle Nonmonotone Nonignorable Missingness
• Flexible generalized t-link models for binary response data
• Parameter and Quantile Estimation for the Generalized Pareto Distribution
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
• A New Skewed Link Model for Dichotomous Quantal Response Data
• Bayesian Measures of Model Complexity and Fit
• An introduction to statistical modeling of extreme values

This page was built for publication: A shared spatial model for multivariate extreme-valued binary data with non-random missingness