Annual Meeting of the Austrian Statististical Society (ÖSG) 2014
Sprache des Tagungstitel:
We propose sparse Bayesian modelling of the effects of categorical, i.e. nominal and ordinal covariates in regression type models. Sparsity is achieved by specifying spike and slab prior distributions and posterior inference relies on MCMC methods.
For illustration we analyse Austrian data from EU-SILC 2010, where we model the effects of social and demographic characteristics on poverty.