M. P. Hobson / Andrew H. Jaffe / Andrew J. Liddle / Pia Mukherjee / David Parkinson (ed.)
Bayesian Methods in Cosmology
Herausgeber: Hobson, Michael P; Parkinson, David; Mukherjee, Pia; Liddle, Andrew R; Jaffe, Andrew H
M. P. Hobson / Andrew H. Jaffe / Andrew J. Liddle / Pia Mukherjee / David Parkinson (ed.)
Bayesian Methods in Cosmology
Herausgeber: Hobson, Michael P; Parkinson, David; Mukherjee, Pia; Liddle, Andrew R; Jaffe, Andrew H
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Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.
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Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 316
- Erscheinungstermin: 18. Januar 2010
- Englisch
- Abmessung: 246mm x 178mm x 20mm
- Gewicht: 771g
- ISBN-13: 9780521887946
- ISBN-10: 0521887941
- Artikelnr.: 27869929
- Verlag: Cambridge University Press
- Seitenzahl: 316
- Erscheinungstermin: 18. Januar 2010
- Englisch
- Abmessung: 246mm x 178mm x 20mm
- Gewicht: 771g
- ISBN-13: 9780521887946
- ISBN-10: 0521887941
- Artikelnr.: 27869929
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
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.
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.
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.