Tell your friends about this item:
Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan Hilbe, Joseph M. (Jet Propulsion Laboratory, California Institute of Technology)
Price
R 2,611
excl. VAT
Ordered from remote warehouse
Expected to be ready for shipping Nov 17 - 23
Christmas presents can be returned until 31 January
Get notified about new Hilbe, Joseph M. (Jet Propulsion Laboratory, California Institute of Technology) releases
Our customers say:
Add to your iMusic wish list
Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan
Hilbe, Joseph M. (Jet Propulsion Laboratory, California Institute of Technology)
This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will also be attractive to researchers in the sciences more broadly.
424 pages, 66 b/w illus. 23 colour illus. 11 tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 27, 2017 |
| ISBN13 | 9781107133082 |
| Publishers | Cambridge University Press |
| Pages | 408 |
| Dimensions | 194 × 247 × 24 mm · 1.06 kg |
| Language | English |
