Practical Bayesian inference: a primer for physical scientists
Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how th...
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| Dokumenttyp: | Book/Monograph |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge New York Melbourne Delhi Singapore
Cambridge University Press
2017
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| DOI: | 10.1017/9781108123891 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, Volltext: http://dx.doi.org/10.1017/9781108123891 Resolving-System, Volltext: https://doi.org/10.1017/9781108123891 
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| Verfasserangaben: | Coryn A. L. Bailer-Jones, Max-Planck-Institute for Astronomy, Heidelberg |
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Practical Bayesian inference: a primer for physical scientists
Cambridge University Press 2017
Book/Monograph