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The role of Bayesian inference in cosmological data processing has never ceased to grow and the need for always more sophisticated methods is dire. However making new statistical methods accepted by the research community is still a slow process. This workshop aims to present the recent progress made in this field, in particular in the implementation of approximate Bayesian computation for astrophysical data.
Registration is free and can be made here.
Martin Kilbinger (CEA Saclay)
Florent Leclercq (Imperial College London)
Jean-Michel Marin (Université de Montpellier) (Absent)
Christian P. Robert (Université Paris-Dauphine)
Grégoire Aufort (Université Aix-Marseille)
Laboratoire de Mathématiques Blaise Pascal, Université Clermont-Auvergne, salle 2222
Emmanuel Gangler (LPC, Université Clermont-Auvergne)
Arnaud Guillin (LMBP, Université Clermont-Auvergne)
Emille Ishida (LPC, Université Clermont-Auvergne)
Manon Michel (LMBP, Université Clermont-Auvergne)