0410436 20240103182213.920060210235959.9 On stochastic conditional independence: Problem of characterization and description Rome Baltzer Science Publ. 2000 4 s. Partial Knowledge and Uncertainty: Independence, Conditioning, Inference5-8ScozzafavaR.VantaggiB. cav_un_auth*0101202 Studený Milan UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. 12A AV0Z1075907 This overview paper deals with two basic questions: the problem of characterization of conditional independence models and the problem of its computer representation. Classic graphical approaches to description of these structures are mentioned. A method which uses non-graphical tools called structural imsets is outlined. cav_un_auth*0212700 Workshop on Partial Knowledge and Uncertainty: Independence, Conditioning, Inference. Rome IT 04.05.2000-06.05.2000 BA MTR http://hdl.handle.net/11104/0130525 UTIA-B 20000152 2000 2000 Rome Baltzer Science Publ. Partial Knowledge and Uncertainty: Independence, Conditioning, Inference 5 8 Scozzafava R. 340 Vantaggi B. 340