Jay I. Myung
According to our database1,
Jay I. Myung
authored at least 18 papers
between 2004 and 2020.
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Bibliography
2020
The Scaled Target Learning Model: A Novel Computational Model of the Balloon Analogue Risk Task.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
Optimizing the Design of an Experiment using the ADOpy Package: An Introduction and Tutorial.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Assessing the Validity of Three Tasks of Risk-Taking Propensity: Behavioral Measure and Computational Modeling.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach.
Cogn. Sci., 2017
2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
2014
Neural Comput., 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Manag. Sci., 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2011
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2010
Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science.
Neural Comput., 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
Measuring Model Flexibility With Parameter Space Partitioning: An Introduction and Application Example.
Cogn. Sci., 2008
2005
Proceedings of the Computational Imaging III, San Jose, 2005
2004
Proceedings of the Numerical Computer Methods, Part D, 2004