Références

Albert, Jim. 2009. Bayesian Computation with R. 2nd ed. Springer.

BIOBAYES, Collectif. 2015. Initiation à la Statistique Bayésienne - Bases Théoriques et Applications en Alimentation, Environnement, Epidémiologie et Génétique. Editions Ellipses.

Gelman, A., J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin. 2013. Bayesian Data Analysis. 3rd ed. Chapman & Hall/CRC.

Gelman, Andrew, Aki Vehtari, Daniel Simpson, Charles C. Margossian, Bob Carpenter, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner, and Martin Modrák. 2020. “Bayesian Workflow.” https://arxiv.org/abs/2011.01808.

Gimenez, Olivier, Andy Royle, Marc Kéry, and Chloé R. Nater. 2025. “Ten Quick Tips to Get You Started with Bayesian Statistics.” PLOS Computational Biology 21 (4): 1–13.

Johnson, A. A., M. Q. Ott, and M. Dogucu. 2022. Bayes Rules!: An Introduction to Applied Bayesian Modeling. 1st ed. Chapman & Hall/CRC.

Kéry, M., and K. F. Kellner. 2010. Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB. 1st ed. Elsevier.

Kruschke, J. K. 2010. Doing Bayesian Data Analysis: A Tutorial with R and BUGS. Academic Press Inc.

Matthiopoulos, Jason. 2011. How to Be a Quantitative Ecologist: The ’A to R’ of Green Mathematics and Statistics. Chichester, West Sussex, U.K: Wiley.

McCarthy, M. A. 2007. Bayesian Methods for Ecology. Cambridge University Press.

McElreath, R. 2020. Statistical Rethinking: A Bayesian Course with Example in R and Stan. 2nd ed. Chapman & Hall/CRC.