Search results
- 1.0509113 - ÚTIA 2020 RIV CZ eng C - Conference Paper (international conference)
Švorc, Jan - Vomlel, Jiří
Bayesian Networks for the Analysis of Subjective Well-Being.
Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19). Praha: MatfyzPress, 2019 - (Inuiguchi, M.; Jiroušek, R.; Kratochvíl, V.), s. 175-188. ISBN 978-80-7378-400-3.
[Czech-Japan Seminar on Data Analysis and Decision Making 2019 /22./. Bojkovice (CZ), 25.09.2019-28.09.2019]
R&D Projects: GA ČR(CZ) GA19-04579S; GA ČR GA17-08182S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Subjective well-being
OECD category: Social topics (Women´s and gender studies; Social issues; Family studies; Social work)
http://library.utia.cas.cz/separaty/2019/MTR/svorc-0509113.pdf
Permanent Link: http://hdl.handle.net/11104/0300870