5.10 Para saber mais
- Nicenboim, Schad and Vasishth (2024-10-19) - An Introduction to Bayesian Data Analysis for Cognitive Science
- (O. Martin 2024)
- Fleischhacker (2023-05-02) - Persuasive Python
- (Clyde et al. 2022)
- (O. A. Martin, Kumar, and Lao 2021)
- (Davidson-Pilon 2015)
- Jordan (2010) - Bayesian Modeling and Inference
- Bayesian Analysis (electronic journal)
References
Clyde, Merlise, Mine Cetinkaya-Rundel, Colin Rundel, David Banks, Christine Chai, and Lizzy Huang. 2022. “An Introduction to Bayesian Thinking.” A Companion to the Statistics with R Course. https://statswithr.github.io/book/.
Davidson-Pilon, Cameron. 2015. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference. Addison-Wesley Professional. https://www.dc.fi.udc.es/~roi/publications/June82013.pdf.
Martin, Osvaldo. 2024. Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling. 3rd ed. Packt Publishing. https://www.amazon.com/Bayesian-Analysis-Python-Practical-probabilistic/dp/1805127160.
Martin, Osvaldo A., Ravin Kumar, and Junpeng Lao. 2021. Bayesian Modeling and Computation in Python. Boca Raton: CRC Press. https://bayesiancomputationbook.com/welcome.html.