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Mistry, P., Pothos, E., Vandekerckhove, J., & Trueblood, J. (2018). A quantum probability account of individual differences in causal reasoning. Journal of Mathematical Psychology, 87, 76–97.
Guan, M., & Lee, M. D. (2018). The effects of goals and evironments on human performance in optimal stopping problems. Decision, 5, 339–361.
Zwaan, R., Etz, A., Lucas, R., & Donnellan, M. (2018). Making replication mainstream. Behavioral and Brain Sciences, 41, e120.
Ly, A., Raj, A., Etz, A., Marsman, M., & Wagenmakers, E. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1, 367–374.
Zwaan, R., Etz, A., Lucas, R., & Donnellan, M. (2018). Improving social and behavioral science by making replication mainstream: A response to commentaries. Behavioral and Brain Sciences, 41, e157.
Ly, A., Etz, A., Marsman, M., & Wagenmakers, E. (2018). Replication Bayes factors from evidence updating. Behavior Research Methods, 51, 2498–2508.
Etz, A., Gronau, Q., Dablander, F., Edelsbrunner, P., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25, 219–234.
Etz, A. (2018). Introduction to the concept of likelihood and its applications. Advances in Methods and Practices in Psychological Science, 1, 60–69.
Wagenmakers, E., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q., Dropmann, D., Boutin, B., Meerhol, F., Knight, P., Raj, A., van Kesteren, E., van Doorn, J., Smira, M., Epskamp, S., Etz, A., Matzke, D., Rouder, J., & Morey, R. (2018). Bayesian Inference for Psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58–76.
Etz, A., Haaf, J., Rouder, J., & Vandekerckhove, J. (2018). Bayesian inference and testing any hypothesis you can specify. Advances in Methods and Practices in Psychological Science, 1, 281–295.
Vandekerckhove, J., Rouder, J., & Kruschke, J. (2018). Editorial: Bayesian methods for advancing psychological science. Psychonomic Bulletin & Review, 25, 1–4.
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C., De Boeck, P., & Vandekerckhove, J. (2018). Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences, 115, 2607–2612.
Rouder, J., Haaf, J., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin & Review, 25, 102–113.
Matzke, D., Boehm, U., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models. Psychonomic Bulletin & Review, 25, 77–101.
Etz, A., & Vandekerckhove, J. (2018). Introduction to Bayesian inference for psychology. Psychonomic Bulletin & Review, 25, 5–34.
Okada, K., Vandekerckhove, J., & Lee, M. D. (2018). Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Behavior Research Methods, 50, 406–415.
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Mistry, P., Pothos, E., Vandekerckhove, J., & Trueblood, J. (2018). A quantum probability account of individual differences in causal reasoning. Journal of Mathematical Psychology, 87, 76–97.
Guan, M., & Lee, M. D. (2018). The effects of goals and evironments on human performance in optimal stopping problems. Decision, 5, 339–361.
Zwaan, R., Etz, A., Lucas, R., & Donnellan, M. (2018). Making replication mainstream. Behavioral and Brain Sciences, 41, e120.
Ly, A., Raj, A., Etz, A., Marsman, M., & Wagenmakers, E. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1, 367–374.
Zwaan, R., Etz, A., Lucas, R., & Donnellan, M. (2018). Improving social and behavioral science by making replication mainstream: A response to commentaries. Behavioral and Brain Sciences, 41, e157.
Ly, A., Etz, A., Marsman, M., & Wagenmakers, E. (2018). Replication Bayes factors from evidence updating. Behavior Research Methods, 51, 2498–2508.
Etz, A., Gronau, Q., Dablander, F., Edelsbrunner, P., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25, 219–234.
Etz, A. (2018). Introduction to the concept of likelihood and its applications. Advances in Methods and Practices in Psychological Science, 1, 60–69.
Wagenmakers, E., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q., Dropmann, D., Boutin, B., Meerhol, F., Knight, P., Raj, A., van Kesteren, E., van Doorn, J., Smira, M., Epskamp, S., Etz, A., Matzke, D., Rouder, J., & Morey, R. (2018). Bayesian Inference for Psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58–76.
Etz, A., Haaf, J., Rouder, J., & Vandekerckhove, J. (2018). Bayesian inference and testing any hypothesis you can specify. Advances in Methods and Practices in Psychological Science, 1, 281–295.
Vandekerckhove, J., Rouder, J., & Kruschke, J. (2018). Editorial: Bayesian methods for advancing psychological science. Psychonomic Bulletin & Review, 25, 1–4.
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C., De Boeck, P., & Vandekerckhove, J. (2018). Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences, 115, 2607–2612.
Rouder, J., Haaf, J., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin & Review, 25, 102–113.
Matzke, D., Boehm, U., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part III: Bayesian parameter estimation in nonstandard models. Psychonomic Bulletin & Review, 25, 77–101.
Etz, A., & Vandekerckhove, J. (2018). Introduction to Bayesian inference for psychology. Psychonomic Bulletin & Review, 25, 5–34.
Okada, K., Vandekerckhove, J., & Lee, M. D. (2018). Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Behavior Research Methods, 50, 406–415.