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Bayesian Methods in Cosmology.

Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hobson, Michael P.
Otros Autores: Jaffe, Andrew H., Liddle, Andrew R., Mukherjee, Pia, Parkinson, David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Leiden : Cambridge University Press, 2009.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.