A Bayesian semi-parametric approach to the ordinal calibration problem

作者：Paz Casanova Maria; Orellana Yasna

来源：Communications in Statistics - Theory and Methods, 2016, 45(22): 6596-6610.

DOI：10.1080/03610926.2014.963617

• Calibration problem
• MCMC
• Ordinal regression
• Skewed Dirichlet processes

We introduce a semi-parametric Bayesian approach based on skewed Dirichlet processes priors for location parameters in the ordinal calibration problem. This approach allows the modeling of asymmetrical error distributions. Conditional posterior distributions are implemented, thus allowing the use of Markov chains Monte Carlo to generate the posterior distributions. The methodology is applied to both simulated and real data.

• 出版日期2016