Abstract
All statistical analyses make assumptions, and Bayesian analyses are no exception. This chapter emphasizes that results depend on data and priors (assumptions). We illustrate this concept with examples where the prior plays greatly different roles, from major to negligible. We also provide some advice on how to look for information useful for sculpting the prior.
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Andreon, S., Weaver, B. (2015). The Prior. In: Bayesian Methods for the Physical Sciences. Springer Series in Astrostatistics, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-15287-5_5
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DOI: https://doi.org/10.1007/978-3-319-15287-5_5
Publisher Name: Springer, Cham
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