155 citations · 190 across the 4 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2016
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
Andrea Riebler, Sigrunn H. Sørbye, Daniel Simpson +1
In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulat…
stat.ME2014★ 25 cited
Penalising model component complexity: A principled, practical approach to constructing priors
Daniel P. Simpson, Håvard Rue, Thiago G. Martins +2
In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model c…