Artículo de revista
A Bayesian semi-parametric approach to the ordinal calibration problem
Fecha
2016Registro en:
Communications in Statistics-Theory and Methods Volumen: 45 Número: 22 Páginas: 6596-6610 2016
10.1080/03610926.2014.963617
Autor
Casanova, María Paz
Orellana Zapata, Yasna
Institución
Resumen
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.