Název: Employing Bayesian Networks for Subjective Well-being Prediction
Autoři: Švorc, Jan ; Vomlel, Jiří
Typ dokumentu: Příspěvky z konference
Konference/Akce: Workshop on Uncertainty Processing (WUPES’18), Třeboň (CZ), 20180606
Rok: 2018
Jazyk: eng
Abstrakt: This contribution aims at using Bayesian networks for modelling the relations between the individual subjective well-being (SWB) and the individual material situation. The material situation is approximated by subjective measures (perceived economic strain, subjective evaluation of the income relative to most people in the country and to own past) and objective measures (household’s income, material deprivation, financial problems and housing defects). The suggested Bayesian network represents the relations among SWB and the variables approximating the material situation. The structure is established based on the expertise gained from literature, whereas the parameters are learnt based on empirical data from 3rd edition of European Quality of Life Study for the Czech Republic, Hungary, Poland and Slovakia conducted in 2011. Prediction accuracy of SWB is tested and compared with two benchmark models whose structures are learnt using Gobnilp software and a greedy algorithm built in Hugin software. SWB prediction accuracy of the expert model is 66,83%, which is significantly different from no information rate of 55,16%. It is slightly lower than the two machine learnt benchmark models.
Klíčová slova: Bayesian networks; Subjective well-being
Číslo projektu: GA17-08182S (CEP)
Poskytovatel projektu: GA ČR
Zdrojový dokument: Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), ISBN 978-80-7378-361-7

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: http://library.utia.cas.cz/2018/MTR/svorc-0490308.pdf
Původní záznam: http://hdl.handle.net/11104/0284593

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-375671


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav teorie informace a automatizace
Konferenční materiály > Příspěvky z konference