0361511 20240103195405.720110816235959.9 000292641700004 10.1080/03081079.2011.562627 56 s. cav_un_epca*02567940308-1079406 (2011)623-678Taylor & Francis multidimensional probability distribution conditional independence graphical Markov model composition of distributions cav_un_auth*0101118 Jiroušek Radim Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/MTR/jirousek-foundations of compositional model theory.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA201/09/1891 GA ČR cav_un_auth*0253175 GEICC/08/E010 GA ČR cav_un_auth*0241637 CEZ:AV0Z10750506 The paper is a survey of the most important basic concepts and results concerning compositional models necessary for reading advanced papers on computational procedures and other aspects connected with this (relatively new) approach for multidimensional distribution representation. 2012 IN 1 http://hdl.handle.net/11104/0198811 COMPUTERSCIENCETHEORYMETHODS 0.945 0.103 >10.0 0.00112 0.333 542 39 26 0.455 25.88 0.99 Q2 22.434 42.929 Q4 Q3 2011 000292641700004 WOS cav_un_epca*0256794 International Journal of General Systems 0308-1079 1563-5104 Roč. 40 č. 6 2011 623 678 Taylor & Francis