This paper uses an Empirical Bayes approach to estimate the conditional mean function of a Poisson regression model, evaluated at counterfactual values of time-invariant unobserved covariates. The application that motivates and illustrates the methods developed herein is the use of deadly force...

We consider the measures of jointness proposed by Doppelhofer and Weeks (2009) and Strachan (2009) in the context of variable selection. Using the general criteria suggested in Ley and Steel (2007), we identify some shortcomings of these measures, which are illustrated with empirically relevant...

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance,...