3 papers
stat.ME2024
On integral priors for multiple comparison in Bayesian model selection
Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior…
stat.CO2014
Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models: an efficient MCMC method
Diego Salmerón, Juan Antonio Cano
In cohort studies binary outcomes are very often analyzed by logistic regression. However, it is well-known that when the goal is to estimate a risk ratio, the logistic regression…
stat.ME2013
Objective Bayesian hypothesis testing in binomial regression models with integral prior distributions
Diego Salmeron, Juan Antonio Cano, C. P. Robert
In this work we apply the methodology of integral priors to handle Bayesian model selection in binomial regression models with a general link function. These models are very often…