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StatLearn 2013 - Workshop on "Challenging problems in Statistical Learning" - deep links to episodes

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May 16 2013:Bayesian inference for the exponential random graph model (Nial Friel)
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May 16 2013:Clustering of variables combined with variable selection using random forests : application to gene expression data (Robin Genuer & Vanessa Kuentz-Simonet)
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May 16 2013:Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator (Arnaud Doucet)
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May 16 2013:Investigating on nonlinear relationship in high-dimensional setting (Frédéric Ferraty)
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May 16 2013:Learning with the Online EM Algorithm (Olivier Cappé)
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May 16 2013:Modular priors for partially identified models (Ioanna Manolopoulou)
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May 16 2013:New challenges for (biological) network inference with sparse Gaussian graphical models (Julien Chiquet)
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May 16 2013:Regularized PCA to denoise and visualize data (Julie Josse)
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May 16 2013:Strategies to analyze (Benoît Liquet)
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