Abstract
We assume that a set of events \(x_1, \dots ,x_N\) is given. Neither the mean \(\xi \) nor the standard deviation \(\sigma \) of the data is known. They are to be inferred. It is assumed that the Gaussian model
of Eq. (4.1) applies for the distribution of every \(x_k\).
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Harney, H.L. (2016). Inferring the Mean or the Standard Deviation. In: Bayesian Inference. Springer, Cham. https://doi.org/10.1007/978-3-319-41644-1_10
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DOI: https://doi.org/10.1007/978-3-319-41644-1_10
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