0542523 20240103225818.920210520235959.9 000632795500001 85103167709 10.1080/03081079.2021.1895142 24 s. P cav_un_epca*02567940308-1079504 (2021)409-433Taylor & Francis Probability distribution multidimensionality marginalization conditioning causality intervention cav_un_auth*0101118 Jiroušek Radim UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory 50 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216188 Kratochvíl Václav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory CZ 50 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0393863 Bína Vladislav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/MTR/jirousek-0542523.pdf https://www.tandfonline.com/doi/full/10.1080/03081079.2021.1895142 GA19-06569S GA ČR CZ cav_un_auth*0380559 Compositional models, as an alternative to Bayesian networks, are assembled from a system of low-dimensional distributions. Thus, the respective apparatus falls fully into probability theory. The present paper surveys the results supporting the design of computational procedures, without which the application of these models to practical problems would be impossible. The methods of inference cannot do without a possibility to focus on a part of the considered multidimensional model and to incorporate data describing the actual situation. Thus, the paper shows how to compute marginals and conditionals of multidimensional models. Also, the paper briefly solves the problem of computing the effect of an intervention, in case the model is interpreted as a causal model. WOS BB 10000 10100 10103 2022 2 RVO:67985556 http://hdl.handle.net/11104/0320293 S 3+4 Article Computer Science Theory Methods|Ergonomics C COMPUTERSCIENCE.THEORY&METHODS 2.088 0.571 13.7 0.00085 0.417 1802 56 0.720 40.28 2.42 321 Q2 1.824 42 Q2 59.5 Q3 Q3 0.64 Q2 59.545 2021 85103167709 SCOPUS PUBMED 000632795500001 WOS cav_un_epca*0256794 International Journal of General Systems 0308-1079 1563-5104 Roč. 50 č. 4 2021 409 433 Taylor & Francis