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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CITATION STYLE
APA
Andreon, S., & Weaver, B. (2015). The prior. In Springer Series in Astrostatistics (Vol. 4, pp. 35–49). Springer International Publishing. https://doi.org/10.1007/978-3-319-15287-5_5
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