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.

• Sahu (2024) Introduction to Probability, Statistics & R. Springer

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.

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.

Sahu, S. K. 2024. Introduction to Probability, Statistics & R. Springer. https://doi.org/10.1007/978-3-031-37865-2.