###PROGRAM OF MAIN LECTURES
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J-M. BARDET (Paris I) : Statistique pour des processus longue-mémoire
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M. BOGDAN (Wroclaw) : Recent trends in sparse model selection in Large Dimensional Data Analysis
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P. Graczyk (Angers), G. Letac (Toulouse) et J. Wesolowski (Varsovie): Analysis of Gaussian and Wishart matrices
P. GRACZYK, Analysis of Wishart matrices: Riesz and Wishart laws on graphical cones Letac-Massam conjecture
G. LETAC, Interpolation of the Wishart and non central Wishart distributions
J. WESOLOWSKI, Independence properties of Wishart matrices -
R. LATALA (Varsovie) : Inequalities in modern statistics
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H. MASSAM (York U. Toronto) : Some aspects of hierarchical loglinear models
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E. ROQUAIN (UPMC Paris) : On controlling the amount of false positives when making multiple simultaneous tests
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J. ROUSSEAU (Paris Dauphine) : New topics in modern nonparametric Bayes methods
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J-F. DUPUY (Insa Rennes) : Estimation of conditional extreme quantiles with random censoring
###Talks
M. Balcerek (Wroclaw University of Science & Technology) : Identication methods of changes in variance in processes
T. Berrett (University of Cambridge) : Efficient Nonparametric Entropy Estimation
C. Brécheteau (Université Paris Sud) : Distance to a measure to compare samples of points
S. Mamane (University of Angers) : Variance function of Wishart exponential families in graphical models
K. Masmoudi (University of Sfax) : Finite Singular Multivariate Gaussian Mixture
M. Stolz (University of Münster) : Missing or Corrupted Data and the Marcenko-Pastur Theorem