Introduction

A conceptual introduction to Bayesian data analysis, workflow, and a first model

Matti Vuorre https://vuorre.netlify.com (University of Oxford)https://www.oii.ox.ac.uk/people/matti-vuorre/
2020-10-22

Slide deck

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The three books cited in this lesson are all highly recommended readings. For beginners to Bayesian statistics, I recommend starting with Kruschke (2014), or McElreath (2020). Bayesian Data Analysis by Gelman et al. (2013) is the definitive textbook on the topic, and recommended for more mathematically oriented and/or advanced readers.

Gelman, Andrew, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin. 2013. Bayesian Data Analysis, Third Edition. Boca Raton: Chapman; Hall/CRC.

Heino, Matti T. J., Matti Vuorre, and Nelli Hankonen. 2018. “Bayesian Evaluation of Behavior Change Interventions: A Brief Introduction and a Practical Example.” Health Psychology and Behavioral Medicine 6 (1): 49–78. https://doi.org/10.1080/21642850.2018.1428102.

Kruschke, John K. 2014. Doing Bayesian Data Analysis: A Tutorial Introduction with R. 2nd Edition. Burlington, MA: Academic Press.

McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. 2nd ed. CRC Texts in Statistical Science. Boca Raton: Taylor; Francis, CRC Press.

References

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Citation

For attribution, please cite this work as

Vuorre (2020, Oct. 22). brms workshop: Introduction. Retrieved from https://mvuorre.github.io/brms-workshop/posts/introduction/

BibTeX citation

@misc{vuorre2020introduction,
  author = {Vuorre, Matti},
  title = {brms workshop: Introduction},
  url = {https://mvuorre.github.io/brms-workshop/posts/introduction/},
  year = {2020}
}