Both the modelisation-inferential aspect and applications will be considered. N. Ghazzali Univ. Laval Y. Goussard cole Polytechnique J. Goutsias John Hopkins Univ. H. Kuensch ETH Zentrum J. Meloche Univ. Y. Wu Univ.
Early registration is encouraged since attendance is limited.
This has generated an important and rapid development regarding the statistical inference for these processes. This development is partly based on more fundamental disciplines like probability and statistical mechanic, but a very special place is given to Markov random fields. Both the asymptotic propreties of the statistical procedures and their application to applied problems will be considered. A particular attention will be given to the Monte Carlo Markov chain techniques. In addition to the invited lectures, there will be a limited number of contributed papers.