Three topics are covered here, namely:
- model selection in sparsity
- the bootstrap (parametric and nonparametric) + confidence intervals
- Monte-Carlo methods: for the numerical estimation of an integral + MCMC sampling
-
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About model selection (in sparsity), bootstrapping and Monte-Carlo methods
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