A Bayesian semi-parametric approach to the ordinal calibration problem

DOI10.1080/03610926.2014.963617zbMath1349.62096OpenAlexW2511968862MaRDI QIDQ2832653

Yasna Orellana, María P. Casanova

Publication date: 11 November 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.963617

zbMATH Keywords

MCMCcalibration problemordinal regressionskewed Dirichlet processes

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• Dirichlet invariant processes and applications to nonparametric estimation of symmetric distribution functions
• Bayes methods for a symmetric unimodal density and its mode
• Nonparametric Bayesian modelling using skewed Dirichlet processes
• Poisson process approximations for the Ewens sampling formula
• Ferguson distributions via Polya urn schemes
• A fully Bayesian parametric approach for cytogenetic dosimetry
• A Bayesian analysis of some nonparametric problems
• Bayesian linear regression with error terms that have symmetric unimod al densities
• Ordinal Data Modeling
• Bayesian Semiparametric Median Regression Modeling
• A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem

This page was built for publication: A Bayesian semi-parametric approach to the ordinal calibration problem