Bayesian Models of Sequential Dependencies in Binary and Multi-Interval Response Tasks

作者: Jeffrey Scott Annis

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参考文章(64)
Eric-Jan Wagenmakers, Michael D. Lee, Bayesian Cognitive Modeling: A Practical Course ,(2014)
E. T. Jaynes, Probability theory : the logic of science The Mathematical Intelligencer. ,vol. 27, pp. 83- 83 ,(2003) , 10.1017/CBO9780511790423
Thomas L. Griffiths, Adam N. Sanborn, Kevin R. Canini, Daniel J. Navarro, Joshua B. Tenenbaum, Nonparametric Bayesian models of categorization Cambridge University Press. pp. 173- 198 ,(2011) , 10.1017/CBO9780511921322.008
John Arthur Swets, David Marvin Green, Signal Detection Theory and Psychophysics ,(1974)
Jeffrey Annis, Kenneth J. Malmberg, A model of positive sequential dependencies in judgments of frequency Journal of Mathematical Psychology. ,vol. 57, pp. 225- 236 ,(2013) , 10.1016/J.JMP.2013.06.006
Brandon M. Turner, Birte U. Forstmann, Eric-Jan Wagenmakers, Scott D. Brown, Per B. Sederberg, Mark Steyvers, A Bayesian framework for simultaneously modeling neural and behavioral data NeuroImage. ,vol. 72, pp. 193- 206 ,(2013) , 10.1016/J.NEUROIMAGE.2013.01.048
Jeffrey N. Rouder, Jun Lu, An introduction to Bayesian hierarchical models with an application in the theory of signal detection. Psychonomic Bulletin & Review. ,vol. 12, pp. 573- 604 ,(2005) , 10.3758/BF03196750