Empirical Processes And Vc Theory
PROBABILITY FOR STATISTICS AND MACHINE LEARNING: FUNDAMENTALS AND ADVANCED TOPICS(2010)
摘要
Like martingales, empirical processes also unify an incredibly large variety of problems in probability and statistics. Results
in empirical processes theory are applicable to numerous classic and modern problems in probability and statistics; a few
examples of applications are the study of central limit theorems in more general spaces than Euclidean spaces, the bootstrap,
goodness of fit, density estimation, and machine learning. Familiarity with the basic theory of empirical processes is extremely
useful across fields in probability and statistics.
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