Bayesian Methods in Cosmology

Editors

Michael P. Hobson, University of Cambridge
M. P. Hobson is Reader in Astrophysics and Cosmology at the Cavendish Laboratory, University of Cambridge, where he researches theoretical and observational cosmology, Bayesian statistical methods, gravitation and theoretical optics.

Andrew H. Jaffe, Imperial College of Science, Technology and Medicine, London
Andrew H. Jaffe is Professor of Astrophysics and Cosmology at Imperial College and a member of the Planck Surveyor Satellite collaboration, which will create the highest-resolution and most sensitive maps of the CMB ever produced.

Andrew R. Liddle, University of Sussex
Andrew R. Liddle is Professor of Astrophysics at the University of Sussex. He is the author of over 150 journal articles and four books on cosmology, covering topics from early Universe theory to modelling astrophysical data.

Pia Mukherjee, University of Sussex
Pia Mukherjee is a Postdoctoral Researcher in the Astronomy Centre at the University of Sussex, specialising in constraining cosmological models, including dark energy models, from observational data.

David Parkinson, University of Sussex
David Parkinson is a Postdoctoral Research Fellow in the Astronomy Centre at the University of Sussex, working in the areas of cosmology and the early Universe.

Contributors

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