Bayesian Methods for the Physical Sciences Learning from Examples in Astronomy and Physics
Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including nu...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2015, 2015
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| Edition: | 1st ed. 2015 |
| Series: | Springer Series in Astrostatistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Recipes
- A Bit of Theory
- A Bit of Numerical Computation
- Single Parameter Models
- The Prior
- Multi-parameters Models
- Non-random Data Collection
- Fitting Regression Models
- Model Checking and Sensitivity Analysis
- Bayesian vs Simple Methods
- Appendix: Probability Distributions
- Appendix: The third axiom of probability, conditional probability, independence and conditional independence