Dear Adam I know of the following interesting papers:
Steffen L. Lauritzen (1992). Propagation of Probabilities, Means and Variances in Mixed Graphical Association Models. JASA 87: 1098-1108. Steffen L. Lauritzen and Frank Jensen (2001). Stable local computation with conditional Gaussian distributions. Statistics and Computing 11: 191-203. Some other interesting papers written by C. Raphael can be downloaded from his homepage: http://fafner.math.umass.edu/~raphael/papers/index.html Learning in Bayesian Networks with mixed variables is treated in S. G. B�ttcher (2001). Learning Bayesian networks with mixed variables. Artificial Intelligence and Statistics 2001: 149-156. Downloadable from http://www.ai.mit.edu/conferences/aistats2001/papers.html Claus Dethlefsen and I have developed a freeware package (DEAL) for use with R, which implements methods for learning Bayesian networks with mixed variables. See the webpage: http://www.math.auc.dk/novo/deal/ for downloads and installation instructions. The package is still experimental and all comments are very welcome. Regards, Susanne B�ttcher Adam Sosnowski wrote: > Hello, > Can anyone point me to papers on Bayesian networks with both > continous and discret variables. So far I only found A.Moor work > on Mix-nets. > > Adam Sosnowski > > - ---------------------------------------------------------------------------- > Konkurs nie tylko dla orl�w. Jesli masz < 26 sprawd� koniecznie! > Kliknij! < http://encyklopedia.wp.pl/konkurs >
