Bayesian Models for Astrophysical Data
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"Bayesian Models for Astrophysical Data" by Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida is a mathematics book and learning resource focused on General Astronomy. Best for teachers, students, and readers looking for stronger mathematical understanding.
A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.
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"Bayesian Models for Astrophysical Data" by Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida is a mathematics book and learning resource focused on General Astronomy. Best for teachers, students, and readers looking for stronger mathematical understanding.
Topic: General Astronomy
Author: Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida
Who this is for:
- Teachers and classroom instructors
- Students building subject mastery
- Readers looking for practical learning support
Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.
A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.
| Author | Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida |
| Publisher | Cambridge University Press |
| Published | 2017-04-27 |
| ISBN-13 | 9781107133082 |
| Binding | Hardcover |
| Pages | 429 |
| Language | English |
| Subjects | Mathematics |
| Topic | General Astronomy |
Format: Hardcover
Length: 429 pages
Language: English
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