Monte Carlo Simulation methods

Posted in Science on October 17, 2008

Monte Carlo Simulation methods

The course provides an introduction to independent component analysis and source separation. We start from simple statistical principles; examine connections to information theory and to sparse coding; we give an overview of available algorithmics; we also show how several key ideas of ICA are illuminated by information geometry.

Author: Christophe Andrieu, University Of Bristol

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