Applications: Linear models in Regression and Classification (Bayesian Linear Regression, Generalized Linear Models, Logistic Regression), Hierarchical/ Multilevel Models, Cluster Analysis and Mixture ...
Markov Chain Monte Carlo (MCMC) methods allow Bayesian models to be fitted, where prior distributions for the model parameters are specified. By default MLwiN sets diffuse priors which can be used to ...
The Centre for Multilevel Modelling has a long-standing interest in developing ... Our template 2LevelMissingOnePass is a fully Bayesian procedure that requires the specification of the model of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback