A Bayesian Race Model for Recognition Memory

• Published in: Journal of the American Statistical Association Vol. 112; no. 517; pp. 77 - 91
• Main Authors: Kim, Sungmin, Potter, Kevin, Craigmile, Peter F., Peruggia, Mario, Van Zandt, Trisha
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis 02.01.2017; Taylor & Francis Group,LLC; Taylor & Francis Ltd
• Subjects: Acknowledgment; Applications and Case Studies; Bayesian analysis; Bayesian theory; cognition; Cognitive modeling; Encoding; equations; Human performance data; memory; Minimum gamma; Mixture modeling; Model accuracy; Performance prediction; Psychological models; Race; Reaction time; Recognition; Recognition memory; Regression analysis; Statistical methods; statistical models; Statistics; Stimulus; Weibull; Weibull statistics

Many psychological models use the idea of a trace, which represents a change in a person's cognitive state that arises as a result of processing a given stimulus. These models assume that a trace is always laid down when a stimulus is processed. In addition, some of these models explain how res...