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- W2567554088 abstract "A procedure, based on Shannon information theory, for producing least-informative prior distributions for Bayesian estimation and identification is presented. This approach relies on constructing an optimal mixture distribution and applies in small sample sizes. The procedure is illustrated in a small-scale numerical study and contrasted with an approach based on maximum entropy. >" @default.
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- W2567554088 date "2003-01-07" @default.
- W2567554088 modified "2023-09-26" @default.
- W2567554088 title "Least-informative Bayesian prior distributions for finite samples based on information theory" @default.
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- W2567554088 doi "https://doi.org/10.1109/cdc.1989.70640" @default.
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