C Further study
In this module we can only touch the surface of likelihood and Bayes inference. As a starting point for further reading the following text books are recommended.
C.1 Recommended reading
Faraway (2015) Linear Models with R (second edition). Chapman and Hall/CRC.
Held and Bové (2020) Applied Statistical Inference: Likelihood and Bayes (2nd edition). Springer.
Agresti and Kateri (2022) Foundations of Statistics for Data Scientists. Chapman and Hall/CRC.
C.2 Additional references
Heard (2021) An Introduction to Bayesian Inference, Methods and Computation. Springer.
Gelman et al. (2014) Bayesian data analysis (3rd edition). CRC Press.
Wood (2015) Core Statistics. Cambridge University Press. PDF available from https://www.maths.ed.ac.uk/~swood34/core-statistics-nup.pdf