References

Arel-Bundock, Vincent, Noah Greifer, and Andrew Heiss. Forthcoming. “How to Interpret Statistical Models Using marginaleffects in R and Python.” Journal of Statistical Software, Forthcoming. https://marginaleffects.com.
Baayen, R. H. 2008. Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press.
Baayen, R. H., and Elnaz Shafaei-Bajestan. 2019. languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics. https://CRAN.R-project.org/package=languageR.
Barreda, Santiago, and Noah Silbert. 2023. Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in r. Taylor & Francis. https://santiagobarreda.com/bmmrmd/.
Braginsky, Mika, Daniel Yurovsky, Virginia A Marchman, and Michael C Frank. 2019. “Consistency and Variability in Children’s Word Learning Across Languages.” Open Mind 3: 52–67.
Bürkner, Paul-Christian, Jonah Gabry, Matthew Kay, and Aki Vehtari. 2024. “Posterior: Tools for Working with Posterior Distributions.” https://mc-stan.org/posterior/.
Ciaccio, Laura Anna, and João Verı́ssimo. 2022. “Investigating Variability in Morphological Processing with Bayesian Distributional Models.” Psychonomic Bulletin & Review 29 (6): 2264–74.
Flego, Stefon, and Jon Forrest. 2021. “Leveraging the Temporal Dynamics of Anticipatory Vowel-to-Vowel Coarticulation in Linguistic Prediction: A Statistical Modeling Approach.” Journal of Phonetics 88: 101093.
Frank, Michael C, Mika Braginsky, Daniel Yurovsky, and Virginia A Marchman. 2021. Variability and Consistency in Early Language Learning: The Wordbank Project. https://langcog.github.io/wordbank-book/. MIT Press.
Gabry, Jonah, and Tristan Mahr. 2024. “Bayesplot: Plotting for Bayesian Models.” https://mc-stan.org/bayesplot/.
Gabry, Jonah, Daniel Simpson, Aki Vehtari, Michael Betancourt, and Andrew Gelman. 2019. “Visualization in Bayesian Workflow.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 182 (2): 389–402.
Gelman, Andrew. 2006. “Prior Distributions for Variance Parameters in Hierarchical Models (Comment on Article by Browne and Draper).” Bayesian Analysis 1 (3): 515–34.
Gelman, Andrew, and Jennifer Hill. 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge: Cambridge University Press.
Grawunder, Sven. 2014. “Wie Schaukt a Pruag Aos?-Stabile Phonetische Unterschiede in Wortformen Nach Auslautverhärtung in Tirol.” In Sprechwissenschaft: Bestand, Prognose, Perspektive, 209–20. Peter Lang.
Gronau, Quentin F., Henrik Singmann, and Eric-Jan Wagenmakers. 2020. bridgesampling: An R Package for Estimating Normalizing Constants.” Journal of Statistical Software 92 (10): 1–29. https://doi.org/10.18637/jss.v092.i10.
Kay, Matthew. 2023. tidybayes: Tidy Data and Geoms for Bayesian Models. https://doi.org/10.5281/zenodo.1308151.
Kirby, James P. 2018. “Onset Pitch Perturbations and the Cross-Linguistic Implementation of Voicing: Evidence from Tonal and Non-Tonal Languages.” Journal of Phonetics 71: 326–54.
Kirby, James, and Morgan Sonderegger. 2018. “Mixed-Effects Design Analysis for Experimental Phonetics.” Journal of Phonetics 70: 70–85.
Kruschke, John K. 2018. “Rejecting or Accepting Parameter Values in Bayesian Estimation.” Advances in Methods and Practices in Psychological Science 1 (2): 270–80.
Kurz, S. 2021. Statistical Rethinking (Second Edition) with Brms, Ggplot2, and the Tidyverse. https://bookdown.org/content/4857/.
Lemoine, Nathan P. 2019. “Moving Beyond Noninformative Priors: Why and How to Choose Weakly Informative Priors in Bayesian Analyses.” Oikos 128 (7): 912–28.
Lenth, Russell V. 2024. Emmeans: Estimated Marginal Means, Aka Least-Squares Means. https://CRAN.R-project.org/package=emmeans.
Levshina, Natalia. 2015. How to do linguistics with R: Data exploration and statistical analysis. John Benjamins.
Makowski, Dominique, Mattan S Ben-Shachar, and Daniel Lüdecke. 2019. “bayestestR: Describing Effects and Their Uncertainty, Existence and Significance Within the Bayesian Framework.” Journal of Open Source Software 4 (40): 1541.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Second. Chapman; Hall/CRC.
Nicenboim, Bruno, Timo B Roettger, and Shravan Vasishth. 2018. “Using Meta-Analysis for Evidence Synthesis: The Case of Incomplete Neutralization in German.” Journal of Phonetics 70: 39–55.
Nicenboim, B., D. Schad, and S. Vaishth. 2024. An Introduction to Bayesian Data Analysis for Cognitive Science. https://vasishth.github.io/bayescogsci/book/. 5/2024 version.
Schad, Daniel J, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, and Shravan Vasishth. 2023. “Workflow Techniques for the Robust Use of Bayes Actors.” Psychological Methods 28 (6): 1404–26.
Sonderegger, Morgan. 2023. Regression Modeling for Linguistic Data. MIT Press, https://osf.io/pnumg/, preprint at https://github.com/msonderegger/rmld-v1.1/.
Sonderegger, Morgan, Jane Stuart-Smith, and Jeff Mielke. 2023. “How Variable Are English Sibilants?” In Proceedings of the 20th International Congress of Phonetic Sciences, 3196–3200. Prague.
Vehtari, Aki, Jonah Gabry, Måns Magnusson, Yuling Yao, Paul-Christian Bürkner, Topi Paananen, and Andrew Gelman. 2024. “Loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models.” https://mc-stan.org/loo/.
Vehtari, Aki, Andrew Gelman, and Jonah Gabry. 2017. “Practical Bayesian Model Evaluation Using Leave-One-Out Cross-Validation and WAIC.” Statistics and Computing 27: 1413–32. https://doi.org/10.1007/s11222-016-9696-4.
Wesner, Jeff S, and Justin PF Pomeranz. 2021. “Choosing Priors in Bayesian Ecological Models by Simulating from the Prior Predictive Distribution.” Ecosphere 12 (9): e03739.
Winter, Bodo, and Paul-Christian Bürkner. 2021. “Poisson Regression for Linguists: A Tutorial Introduction to Modelling Count Data with Brms.” Language and Linguistics Compass 15 (11): e12439.
Wolock, T. M. 2020. “Distributional Regression Models: A Brms Tutorial.” https://www.tmwolock.com/index.php/2020/12/18/distributional-regression-models-brms-tutorial/.