Causal Analysis

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• Prof. Jianfeng Feng, Department of Computer Science, The University of Warwick
• Monday 28 September 2009, 16:00-17:00
• UG40, School of Computer Science.

If you have a question about this talk, please contact Per Kristian Lehre.

Causality is probably one of the key and most controversial notation in AI and statistics. In the talk, I will concentrate on the idea proposed originally by Granger, a Nobel laureate, graduated from Nottingham and passed away a few months ago. Detailed comparisons with traditional approaches such as ODE , Bayesian Network and information theory are reviewed. Granger causality and its extensions are then applied to gene data (microarray), protein data (image) and neuronal data (multi-electrode array), aiming to answer biological questions based upon experimental data.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

This talk is included in these lists:

• Artificial Intelligence and Natural Computation seminars
• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• UG40, School of Computer Science
• computer sience

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