Abstract
The aim of this chapter is to provide an extensive survey of numerical Bayesian methods. The emphasis is placed primarily on the numerical integration of posterior densities to obtain approximations to marginal densities and Bayesian evidence.
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© 1996 Springer Science+Business Media New York
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Ó Ruanaidh, J.J.K., Fitzgerald, W.J. (1996). Numerical Bayesian Inference. In: Numerical Bayesian Methods Applied to Signal Processing. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0717-7_3
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DOI: https://doi.org/10.1007/978-1-4612-0717-7_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6880-2
Online ISBN: 978-1-4612-0717-7
eBook Packages: Springer Book Archive