0410859 20240103182244.320060210235959.9 2-9516453-3-3 3 Annecy ESIA 2002 7 s. 1261-1267 multidimensional model probability distribution composition cav_un_auth*0101118 Jiroušek Radim UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. 12A GA201/02/1269 GA ČR cav_un_auth*0005739 PL973121-IC15CT98-0315 Copernicus XE KONTAKT 1999-24 AKTION AT CEZ:AV0Z1075907 The paper describes an approach to represent multidimensional distributions by "generating sequences". Their subclass of so called "perfect sequences", are equivalent to the class of distributions represented by Bayesian networks. The famous d-separation criterion enables the user to read all the conditional independence relations among the variables of a Bayesian network. This paper shows how to get the same information for distributions represented by perfect sequences. cav_un_auth*0212914 IPMU '2002 /9./ Annecy FR 01.07.2002-05.07.2002 BA MTR http://hdl.handle.net/11104/0130946 UTIA-B 20020073 2002 2002 Annecy ESIA 2-9516453-3-3 Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems 1261 1267