artículo
A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
Fecha
2010Registro en:
10.1080/03610910903453427
0361-0918
WOS:000274979200010
Autor
Paz Casanova, Maria
Iglesias, Pilar
Bolfarine, Heleno
Institución
Resumen
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related to the dose-response model. A hierarchical formulation is provided so that a Markov chain Monte Carlo approach is developed. The methodology is applied to simulated and real data.