A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
María Paz Casanova, Pilar L. Iglesias, Heleno Bolfarine · Communications in Statistics - Simulation and Computation · 2010
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.