The empirical process methods and techniques developed in Part 2 have many applications in statistics. The present part illustrates this in some detail by applications ranging from M-estimation (limit theory and rates of convergence in infinite-dimensional applications), bootstrapping, permutation tests, tests of independence, the functional delta-method, and contiguity theory.
KeywordsOuter Probability Criterion Function Empirical Process Copula Function Total Variation Distance
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