Dear Imputers, I have a multiple imputation procedure created according to some Bayesian model, performing (1) random draws for the parameters theta from their observed-data posterior and (2) random draws for the missing values Ymis according to their conditional predictive distribution f(Ymis|Yobs, theta) given the observed data and an actual draw of theta from (1). As far as I have understood the concept of properness this procedure obviously is Bayesianly proper as defined by Schafer (1997) as well as it is proper in the sense of Rubin (1987) just by definition. Now I am no longer sure about the latter - can anybody give me a pointer? Many thanks Susanne ------------------------------------------------------------------- Dr. Susanne R�ssler Institute of Statistics and Econometrics University of Erlangen-Nuernberg, Germany email: [EMAIL PROTECTED]
