This chapter provides a brief introduction to the theory and computation of Bayesian statistics and its applications to molecular evolution. It uses simple examples, such as distance estimation under the JC69 model, to introduce the general principles. It discusses the application of Bayesian inference to reconstruction of phylogenetic trees and to population genetics analysis under the coalescent. Exercises are provided at the end of the chapter.
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