Titlebook: Bayesian Methods for the Physical Sciences; Learning from Exampl Stefano Andreon,Brian Weaver Book 2015 Springer Nature Switzerland AG 2015

圣人

Daniel B. Diner,Derek H. FenderThis chapter introduces the computational tools and methods that we use for sampling from the posterior distribution. Since all numerical computations, and Bayesian ones are no exception, may end in errors, we also provide a few tips to check that the numerical computation is sampling from the posterior distribution.

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mitral-valve

A Bit of Theory,This short chapter introduces the basics of probability theory in an intuitive fashion using simple examples. It also illustrates, again with examples, how to propagate errors and the difference between marginal and profile likelihoods.

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MITE

https://doi.org/10.1007/978-3-319-15287-5Bayesian astrostatistics; Bayesian methods for astronomy; Fitting regression models in physical scienc

SSRIS

978-3-319-36783-5Springer Nature Switzerland AG 2015

RAFF

Evolving from Earthlings into Martians?ptions). 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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