 |
 |
Hello, I have one question regarding DIC. I have a dataset that contains two outcome variables, that are correlated, X and Y, so I thought of models that use both of them as stochastic nodes. I am interested in fitting two different models M1 and M2, but M2 does not work with Y but needs a transformation of it, let's call it Z. I want to compare the fit of the two models, and I thought of using DIC. Since only X is common to both models, I restricted my comparison to the part of DIC that was contributed by X only. The posterior distribution of the parameter I want to estimate *potentially* depends indirectly on both stochastic nodes (X,Y in M1, X,Z in M2), so I am wondering: a) how meaningful is to calculated DIC for X only. b) how useful is in terms of measuring the fit of the models, given my estimated of interest may depend on the other variable as well. I would appreciate your comments on that. Nicholas ------------------------------------------------------------------- This list is for discussion of modelling issues and the BUGS software. For help with crashes and error messages, first mail [log in to unmask] To mail the BUGS list, mail to [log in to unmask] Before mailing, please check the archive at www.jiscmail.ac.uk/lists/bugs.html Please do not mail attachments to the list. To leave the BUGS list, send LEAVE BUGS to [log in to unmask] If this fails, mail [log in to unmask], NOT the whole list