Abstract
This chapter considers Bayesian applications of APPL. Section 14.1 introduces Bayesian statistics and motivates the use of a computer algebra system to derive posterior distributions. Section 14.2 develops algorithms in the case of a single unknown parameter. Section 14.3 develops algorithms in the case of multiple unknown parameters.
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Drew, J.H., Evans, D.L., Glen, A.G., Leemis, L.M. (2017). Bayesian Applications. In: Computational Probability. International Series in Operations Research & Management Science, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-43323-3_14
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DOI: https://doi.org/10.1007/978-3-319-43323-3_14
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