Bayesian Inference

Leonhard Held and Daniel Sabanés Bové
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Leonhard Held: University of Zurich, Institute of Social and Preventive Medicine
Daniel Sabanés Bové: University of Zurich, Institute of Social and Preventive Medicine

Chapter 6 in Applied Statistical Inference, 2014, pp 167-219 from Springer

Abstract: 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.

Keywords: Posterior Distribution; Prior Distribution; Bayesian Inference; Credible Interval; Posterior Density (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37887-4_6

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DOI: 10.1007/978-3-642-37887-4_6

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