On outliers detection and prior distribution sensitivity in standard skew-probit regression models
From MaRDI portal
Publication:2083419
DOI10.1214/22-BJPS534zbMath1496.62126OpenAlexW4297337090MaRDI QIDQ2083419
Fabiano R. Coelho, Cibele M. Russo, Jorge Luis Bazán
Publication date: 10 October 2022
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-bjps534
Related Items (1)
Uses Software
Cites Work
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- A conversation with Donald B. Rubin
- Latent residual analysis in binary regression with skewed link
- A note on Bayesian residuals as a hierarchical model diagnostic technique
- Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption
- Bayesian inference for the skewness parameter of the scalar skew-normal distribution
- Robust Bayesian analysis using divergence measures
- Skewed link-based regression models for misclassified binary data
- Extensions of the skew-normal ogive item response model
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- A Framework for Skew-Probit Links in Binary Regression
- Bayesian residual analysis for binary response regression models
- A New Skewed Link Model for Dichotomous Quantal Response Data
- Bayesian Measures of Model Complexity and Fit
- Bayesian analysis of outlier problems using divergence measures
- Identifiability and bias reduction in the skew-probit model for a binary response
- Bayesian Biostatistics
- A skew item response model
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: On outliers detection and prior distribution sensitivity in standard skew-probit regression models
