Abstract
In the last chapter we saw examples in which a conjugate prior distribution for an unknown parameter θ led to a posterior distribution for which there were simple formulae for posterior means and variances. However, often we will want to summarize other aspects of a posterior distribution.
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© 2009 Springer Science+Business Media, LLC
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Hoff, P.D. (2009). Monte Carlo approximation. In: A First Course in Bayesian Statistical Methods. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92407-6_4
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DOI: https://doi.org/10.1007/978-0-387-92407-6_4
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-0-387-92407-6
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