Abstract
Bayesian statistics is a branch of statistics that is centered around Bayes’ formula (1.8), which is repeated in (8.1) below. To fully appreciate Bayesian inference, it is important to understand that the type of statistical reasoning here is somewhat different from that in classical statistics. In particular, model parameters are usually treated as random rather than fixed quantities.
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Kroese, D.P., Chan, J.C.C. (2014). Bayesian Inference. In: Statistical Modeling and Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8775-3_8
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DOI: https://doi.org/10.1007/978-1-4614-8775-3_8
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