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Bayesian Networks for the Analysis of Subjective Well-Being
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SYSNO ASEP 0509113 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Bayesian Networks for the Analysis of Subjective Well-Being Tvůrce(i) Švorc, Jan (UTIA-B)
Vomlel, Jiří (UTIA-B) RID, ORCIDCelkový počet autorů 2 Zdroj.dok. Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19). - Praha : MatfyzPress, 2019 / Inuiguchi Masahiro ; Jiroušek Radim ; Kratochvíl Václav - ISBN 978-80-7378-400-3 Rozsah stran s. 175-188 Poč.str. 14 s. Forma vydání Online - E Akce Czech-Japan Seminar on Data Analysis and Decision Making 2019 /22./ Datum konání 25.09.2019 - 28.09.2019 Místo konání Bojkovice Země CZ - Česká republika Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova Bayesian networks ; Subjective well-being Vědní obor RIV BA - Obecná matematika Obor OECD Social topics (Women´s and gender studies; Social issues; Family studies; Social work) CEP GA19-04579S GA ČR - Grantová agentura ČR GA17-08182S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 Anotace We use Bayesian Networks to model the influence of diverse socio-economic factors on subjective well-being and their interrelations. The classical statistical analysis aims at finding significant explanatory variables, while Bayesian Networks can also help sociologists to explain and visualize the problem in its complexity. Using Bayesian Networks the sociologists may get a deeper insight into the interplay of all measured factors and their influence on the variable of a special interest. In the paper we present several Bayesian Network models -- each being optimal from a different perspective. We show how important it is to pay a special attention to a local structure of conditional probability tables. Finally, we present results of an experimental evaluation of the suggested approaches based on real data from a large international survey. We believe that the suggested approach is well applicable to other sociological problems and that Bayesian Networks represent a new valuable tool for sociological research. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2020
Počet záznamů: 1