Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.
Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
John Skilling, D. S. Sivia, Steve Rawlings, Antony Lewis, Sarah Bridle, Andrew R. Liddle, Pia Mukherjee, David Parkinson, Roberto Trotta, Martin Kunz, M. P. Hobson, M. A. J. Ashdown, V. Stolyarov, Graça Rocha, R. Savage, Daniel Mortlock, Neil Cornish, Andrew H. Jaffe, Thomas J. Loredo, Martin A. Hendry, Stefano Andreon, Ofer Lahav, Filipe B. Abdalla, Manda Banerji
Inhaltsangabe
Preface Part I. Methods: 1. Foundations and algorithms John Skilling 2. Simple applications of Bayesian methods D. S. Sivia and Steve Rawlings 3. Parameter estimation using Monte Carlo sampling Antony Lewis and Sarah Bridle 4. Model selection and multi-model interference Andrew R. Liddle, Pia Mukherjee and David Parkinson 5. Bayesian experimental design and model selection forecasting Roberto Trotta, Martin Kunz, Pia Mukherjee and David Parkinson 6. Signal separation in cosmology M. P. Hobson, M. A. J. Ashdown and V. Stolyarov Part II. Applications: 7. Bayesian source extraction M. P. Hobson, Graça Rocha and R. Savage 8. Flux measurement Daniel Mortlock 9. Gravitational wave astronomy Neil Cornish 10. Bayesian analysis of cosmic microwave background data Andrew H. Jaffe 11. Bayesian multilevel modelling of cosmological populations Thomas J. Loredo and Martin A. Hendry 12. A Bayesian approach to galaxy evolution studies Stefano Andreon 13. Photometric redshift estimation: methods and applications Ofer Lahav, Filipe B. Abdalla and Manda Banerji Index.
Preface Part I. Methods: 1. Foundations and algorithms John Skilling 2. Simple applications of Bayesian methods D. S. Sivia and Steve Rawlings 3. Parameter estimation using Monte Carlo sampling Antony Lewis and Sarah Bridle 4. Model selection and multi-model interference Andrew R. Liddle, Pia Mukherjee and David Parkinson 5. Bayesian experimental design and model selection forecasting Roberto Trotta, Martin Kunz, Pia Mukherjee and David Parkinson 6. Signal separation in cosmology M. P. Hobson, M. A. J. Ashdown and V. Stolyarov Part II. Applications: 7. Bayesian source extraction M. P. Hobson, Graça Rocha and R. Savage 8. Flux measurement Daniel Mortlock 9. Gravitational wave astronomy Neil Cornish 10. Bayesian analysis of cosmic microwave background data Andrew H. Jaffe 11. Bayesian multilevel modelling of cosmological populations Thomas J. Loredo and Martin A. Hendry 12. A Bayesian approach to galaxy evolution studies Stefano Andreon 13. Photometric redshift estimation: methods and applications Ofer Lahav, Filipe B. Abdalla and Manda Banerji Index.
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