| Description |
1 online resource (317 pages) |
| Contents |
Cover; Half-title; Title; Copyright; Contents; List of contributors; Preface; Part I Methods; 1 Foundations and algorithms; 2 Simple applications of Bayesian methods; 3 Parameter estimation using Monte Carlo sampling; 4 Model selection and multi-model inference; 5 Bayesian experimental design and model selection forecasting; 6 Signal separation in cosmology; Part II Applications; 7 Bayesian source extraction; 8 Flux measurement; 9 Gravitational wave astronomy; 10 Bayesian analysis of cosmic microwave background data; 11 Bayesian multilevel modelling of cosmological populations |
|
12 A Bayesian approach to galaxy evolution studies13 Photometric redshift estimation: methods and applications; Index |
| Summary |
Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics |
| Notes |
Print version record |
| Subject |
Bayesian statistical decision theory.
|
|
Cosmology -- Statistical methods
|
|
Bayesian statistical decision theory
|
| Form |
Electronic book
|
| Author |
Jaffe, Andrew H
|
|
Liddle, Andrew R
|
|
Mukherjee, Pia
|
|
Parkinson, David
|
| ISBN |
9780511768477 |
|
0511768478 |
|
