Model comparisons and model selections based on generalization criterion methodology

DOI10.1006/jmps.1999.1282zbMath1048.62506OpenAlexW2078969783WikidataQ52080619 ScholiaQ52080619MaRDI QIDQ1977910

Yi-Min Wang, Jerome R. Busemeyer

Publication date: 20 September 2000

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

Full work available at URL: https://semanticscholar.org/paper/5dfb143282ac3d19341164368354e535c11b21f6

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Applications of statistics to psychology (62P15)

Related Items

Learning and equilibrium as useful approximations: accuracy of prediction on randomly selected constant sum games, Evaluating the reliance on past choices in adaptive learning models, Prior sensitivity in theory testing: an apologia for the Bayes factor, Visualizing the Implicit Model Selection Tradeoff, How do people build up visual memory representations from sensory evidence? Revisiting two classic models of choice, Evaluating models of recognition memory using first- and second-choice responses, Beyond fictitious play beliefs: incorporating pattern recognition and similarity matching, Key concepts in model selection: Performance and generalizability, A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging, Accumulative prediction error and the selection of time series models, `Stochastically more risk averse': a contextual theory of stochastic discrete choice under risk, The dependent Poisson race model and modeling dependence in conjoint choice experiments, Bayes factors: Prior sensitivity and model generalizability, Learning, risk attitude and hot stoves in restless bandit problems, Generality, repetition, and the role of descriptive learning models, A loser can be a winner: comparison of two instance-based learning models in a market entry competition, Survey of decision field theory

Cites Work

• Estimating the dimension of a model
• Akaike's information criterion and recent developments in information complexity
• Cross-validation methods
• Model Selection Criteria: An Investigation of Relative Accuracy, Posterior Probabilities, and Combinations of Criteria
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item