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- W1995658984 abstract "Bayesian inference is considered when both the likelihood and the prior distributions are t-densities. Some efficient calculational algorithms in basic normal inference problems concerning the mean over a range of the prior parameters are compared. The algorithms discussed include an approximation via Taylor expansion, the Naylor-Smith algorithm, and the exact formulas developed earlier. Each of them has some drawbacks in terms of accuracy or speed. A combination for efficient calculation over a grid of the prior parameters is suggested." @default.
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- W1995658984 date "1994-01-01" @default.
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- W1995658984 title "Computational algorithms in bayesian inferences for a normal mean with t prior distributions" @default.
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- W1995658984 doi "https://doi.org/10.1080/03610919408813223" @default.
- W1995658984 hasPublicationYear "1994" @default.
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