Brève description / annotation

1. A Model Selection Tale. 2. Model's Introduction. 3. Non Linear Gaussian Model Selection. 4. Bayesian Model Choice. 5. Some Computational Aspects of Bayesian Model Choice. 6. Randomization and Aggregation for Predictive Modeling with Classification Data. 7. Mixture Models. 8. Calibration of Penalties. High Dimensional Clustering. 10. Clustering of Co-expressed Genes. 11. Forecasting the French National Electricity Consumption: from Sparse Models to Aggregated Forecasts.

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