1. Protecting Against Gross Errors: The Aid of Bayesian Methods. - 2. Bayesian Approaches to Outliers and Robustness. - 3. The Probability Integral Tranformation for Non-Necessary Absolutely Continuous Distribution Functions and its Application to Goodness-of-Fit Tests. - 4. Simulation in the General First Order Autoregressive Process (Unidimensional Normal Case). - 5. Non Parametric Prediction in Stationary Processes. - 6. Approximate Reductions of Bayesian Experiments. - 7. Theory and Applications of Least Squares Approximation in Bayesian Analysis. - 8. Non Parametric Bayesian Statistics: A Stochastic Process Approach. - 9. Robust Testing for Independent Non-Identically Distributed Variables and Markov Chains. - 10. On the Use of some Variation Distance Inequalities to estimate the Difference between Sample and Perturbed Sample. - 11. A Contribution to Robust Principal Component Analysis. - 12. From Non Parametric Regression to Non Parametric Prediction: Survey of the Mean Square Error and Original Results on the Predictogram. Language: English