Bayesian Inference using Statistical methods
Budget: €8 – €30 EUR
1. illustration of the dataset
2. explain the overall features of the statistical model such as the role of the parameters and the inferential
goals of the analysis
3. illustrate the main inferential findings (Bayesian point and interval estimation, hypothesis testing)
4. discuss one possible alternative statistical model and illustrate results of model comparison through DIC
and/or marginal likelihood.
5. illustration of the features of the MCMC convergence diagnostics and error control.
You can make use of Winbugs/JAGS as well as other R packages or alternative software.
2. explain the overall features of the statistical model such as the role of the parameters and the inferential
goals of the analysis
3. illustrate the main inferential findings (Bayesian point and interval estimation, hypothesis testing)
4. discuss one possible alternative statistical model and illustrate results of model comparison through DIC
and/or marginal likelihood.
5. illustration of the features of the MCMC convergence diagnostics and error control.
You can make use of Winbugs/JAGS as well as other R packages or alternative software.