University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Causal Analysis

Causal Analysis

Add to your list(s) Download to your calendar using vCal

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


Talks@bham, University of Birmingham. Contact Us | Help and Documentation | Privacy and Publicity.
talks@bham is based on from the University of Cambridge.