Hello Mickael Michael Bedward a écrit : > Sorry to briefly hijack Christian's topic but I just wanted to ask if > you'd thought about combining a Bayesian approach with the single > image reconstruction algorithm described in the Clint Sprott's paper ? > One naive suggestion would be to use the Sprott method to construct > something akin to a Bayesian prior which feeds in to a Gibbs sampling > regression analysis using your other variables.
Thanks for your suggestion, I didn't though about mixing the two approachs. I was thinking about implementing them separatly for now. The main reason why I'm interrested in the Bayesian approach is to get (for each pixel) the result as a probability distribution instead than a single scalar value. We would need to check if mixing the two approachs would not cause the lost of this probability distribution. Anyway, for anything related to the Bayesian approach, I could not implement it alone or answer questions by myself. I will need the help of a friend on mine who is a real mathematician. We had the plan to implement Bayesian approach since a few years, but both of us are still missing time up to date... Martin ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Geotools-devel mailing list Geotools-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/geotools-devel