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Bayesian Statistical Inference: An Overview

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Statistical Methods and Applications from a Historical Perspective

Part of the book series: Studies in Theoretical and Applied Statistics ((STASSPSS))

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Abstract

The Bayesian approach for statistical inference is examined, pointing out also the differences among the many Bayesian philosophies. Moreover comments are given about topics where the Bayesian approach seems (at least to Bayesians) more suitable than the alternatives. At last the decision-theoretic approach is shortly discussed.

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Authors and Affiliations

  1. Sapienza Università di Roma, Rome, Italy

    Ludovico Piccinato

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  1. Ludovico Piccinato
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Correspondence to Ludovico Piccinato .

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Editors and Affiliations

  1. National Institute of Statistics, Istat Head of Office for Census Methods, Rome, Italy

    Fabio Crescenzi

  2. University of Bologna Department of Statistical Sciences, Bologna, Italy

    Stefania Mignani

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Piccinato, L. (2014). Bayesian Statistical Inference: An Overview. In: Crescenzi, F., Mignani, S. (eds) Statistical Methods and Applications from a Historical Perspective. Studies in Theoretical and Applied Statistics(). Springer, Cham. https://doi.org/10.1007/978-3-319-05552-7_5

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