Jeffrey N. Rouder

University of Missouri, Columbia, MO 
Statistical models, mathematical models, perception, memory
"Jeffrey Rouder"
Mean distance: 15.2 (cluster 15)
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Aczel B, Hoekstra R, Gelman A, et al. (2020) Discussion points for Bayesian inference. Nature Human Behaviour
Benjamin DJ, Berger JO, Johannesson M, et al. (2018) Redefine statistical significance. Nature Human Behaviour. 2: 6-10
Wagenmakers EJ, Marsman M, Jamil T, et al. (2017) Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review
Wagenmakers EJ, Love J, Marsman M, et al. (2017) Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review
Ricker TJ, Thiele JE, Swagman AR, et al. (2016) Recognition Decisions From Visual Working Memory Are Mediated by Continuous Latent Strengths. Cognitive Science
Rouder JN, Morey RD, Verhagen J, et al. (2016) Is There a Free Lunch in Inference? Topics in Cognitive Science. 8: 520-47
Rouder JN, Morey RD, Verhagen J, et al. (2016) Bayesian Analysis of Factorial Designs. Psychological Methods
Rouder JN, Engelhardt CR, McCabe S, et al. (2016) Model comparison in ANOVA. Psychonomic Bulletin & Review
Vergauwe E, Hardman KO, Rouder JN, et al. (2016) Searching for serial refreshing in working memory: Using response times to track the content of the focus of attention over time. Psychonomic Bulletin & Review
Morey RD, Wagenmakers EJ, Rouder JN. (2016) Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker. Multivariate Behavioral Research. 51: 11-9
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