Statistical challenges in cosmology

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• Roberto Trotta (University of Oxford)
• Tuesday 29 May 2007, 16:30-17:30
• Ryle Seminar Room, Cavendish Laboratory.

If you have a question about this talk, please contact Jane Buckle.

In the last decade cosmology has become a data driven science, thanks to a wealth of high-quality observational data. With the increase in the quantity and quality of the observations, we find ourselves in a position where more sophisticated statistical analysis tools are required to face the growing complexity of our cosmological models. The talk will give an overview of some of the statistical challenges in modern cosmology, and discuss problems ranging from parameter inference to model selection and also touch upon observers’ selection effects.

This talk is part of the Cavendish Astrophysics Seminars series.

This talk is included in these lists:

• All Cavendish Laboratory Seminars
• All Talks (aka the CURE list)
• Cavendish Astrophysics Seminars
• Centre for Health Leadership and Enterprise
• Combined External Astrophysics Talks DAMTP
• Cosmology, Astrophysics and General Relativity
• Featured lists
• ME Seminar
• Neurons, Fake News, DNA and your iPhone: The Mathematics of Information
• Ryle Seminar Room, Cavendish Laboratory
• School of Physical Sciences
• Thin Film Magnetic Talks

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