0427850 20240103204208.520150122235959.9 10.1007/978-3-642-35443-4_4 12 s. P cav_un_epca*0427849978-3-642-35442-749-60BerlinSpringer Verlag2013HuynhV.-N.KreinovichV.SriboonchittaS.SuriyaK. multidimensional distributions dependence composition 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/2013/MTR/jirousek-0427850.pdf GAP403/12/2175 GA ČR CZ cav_un_auth*0284585 In many practical applications one has to cope with the fact that even relatively small models have to take into account rather hundreds than tens of factors. This is why the methods for multidimensional probability distribution representation, like Bayesian networks, have become so popular. The goal of this paper is to promote an alternative approach, so called compositional models. cav_un_auth*0302884 6th Int. Conf. of the Thailand Econometric Society Chiang Mai 10.01.2013-11.01.2013 TH 2015 IN 1 PR RVO:67985556 http://hdl.handle.net/11104/0243141 S 2013 cav_un_epca*0427849 Uncertainty Analysis in Economics with Applications 978-3-642-35442-7 49 60 Uncertainty Analysis in Economics with Applications Berlin Springer Verlag 2013 Huynh V.-N. 340 Kreinovich V. 340 Sriboonchitta S. 340 Suriya K. 340