Development of a novel computational model for the balloon analogue risk task: the exponential-weight mean-variance model

DOI10.1016/j.jmp.2021.102532zbMath1475.91265OpenAlexW3156652507WikidataQ115570131 ScholiaQ115570131MaRDI QIDQ2244632

Jaeyeong Yang, Woo-Young Ahn, Jasmin Vassileva, Harhim Park

Publication date: 12 November 2021

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2021.102532

zbMATH Keywords

computational modelingrisk-takinghierarchical Bayesian analysissubstance useballoon analogue risk task

Mathematics Subject Classification ID

Decision theory (91B06) Cognitive psychology (91E10)

Uses Software

• Stan
• BayesDA
• hBayesDM

Cites Work

• Unnamed Item
• Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
• A comparison model of reinforcement-learning and win-stay-lose-shift decision-making processes: a tribute to W. K. Estes
• A general framework for the parametrization of hierarchical models
• How cognitive modeling can benefit from hierarchical Bayesian models
• Cognitive model decomposition of the BART: assessment and application
• Estimating the dimension of a model
• Inference from iterative simulation using multiple sequences

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