Appendix B — 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.

B.1 Recommended reading

• 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.

B.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.

Agresti, A., and M. Kateri. 2022. Foundations of Statistics for Data Scientists. Chapman; Hall/CRC.

Gelman, A., J. B. Carlin, H. A. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin. 2014. Bayesian Data Analysis. 3rd ed. CRC Press.

Heard, N. 2021. An Introduction to Bayesian Inference, Methods and Computation. Springer.

Held, L., and D. S. Bové. 2020. Applied Statistical Inference: Likelihood and Bayes. Second. Springer.