Bayesian Models for Astrophysical Data
Autor
Emille E. O. Ishida
, Joseph M. Hilbe (Jet Propulsion Laboratory, California Institute Of Technology)
, Rafael S. De Souza (Eoetvoes Lorand University, Budapest)
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.