Rate of Convergence
This chapter completes the review of classical probabilistic techniques begun in Chapter 1. Here, we supplement the laws of large numbers, the consistency properties of estimators and the convergence properties of algorithms with central limit theorems and results relating to the convergence in distribution of estimators or algorithms.
KeywordsLebesgue Measure Random Vector Central Limit Theorem Autoregressive Model Consistent Estimator
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