curso_Bayes
códigos para o Curso de Bayes
Leituras adicionais para o curso:
Sobre Prioris: Gelman, A., Jakulin, A., Pittau, M. G., & Su, Y. S. (2008). A weakly informative default prior distribution for logistic and other regression models. The annals of applied statistics, 2(4), 1360-1383. Disponível em: http://www.stat.columbia.edu/~gelman/research/published/priors11.pdf
Lemoine, N. P. (2019). Moving beyond noninformative priors: why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912-928. Disponível on-line em: https://onlinelibrary.wiley.com/doi/10.1111/oik.05985.
Gelman, A., Simpson, D., & Betancourt, M. (2017). The prior can often only be understood in the context of the likelihood. Entropy, 19(10), 555. Disponivel em: http://www.stat.columbia.edu/~gelman/research/published/entropy-19-00555-v2.pdf