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Bayesian Inference

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Likelihood and Bayesian Inference

Part of the book series: Statistics for Biology and Health ((SBH))

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Abstract

This chapter gives an introduction to Bayesian inference. Conjugate, improper and Jeffreys prior distributions are introduced as well as various Bayesian point and interval estimates. Bayesian inference in multiparameter models is discussed and some results from Bayesian asymptotics are described. Finally, empirical Bayes methods are described, completed by a number of exercises at the end.

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Held, L., Sabanés Bové, D. (2020). Bayesian Inference. In: Likelihood and Bayesian Inference. Statistics for Biology and Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60792-3_6

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