Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science Book 122)

by Richard McElreath

Notably, the most influential assumptions in both Bayesian and many non-Bayesian models are the likelihood functions and their relations to the parameters.