Kernel density estimation uniform central limit theorem plugin. In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatm. Uniform central limit theorems for kernel density estimators 355. Keywords kernel density estimation uniform central limit theorem plug.
Questions tagged probabilitylimittheorems ask question for question about limit theorems of probability theory, like the law of large numbers, central limit theorem or the law of iterated logarithm. Cambridge core abstract analysis uniform central limit theorems by r. Uniform central limit theorems cambridge studies in advanced mathematics series by r. Sources and studies in the history of mathematics and. There is a general class of sets or functions in more general spaces for which such theorems hold. Uniform central limit theorems for kernel density estimators. The proof is essentially the same as that of dudleys theorem.
A uniform central limit theorem for dependent variables. The uniformity of this result was first proven by m. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. This central limit theorem holds simultaneously and uniformly over all halfplanes. Cambridge core probability theory and stochastic processes uniform central limit theorems by r. Semantic scholar extracted view of uniform central limit theorems. Such results are called uniform central limit theorems. Dudley skip to main content accessibility help we use cookies to distinguish you from other users and to provide you with a better experience on our websites. The central limit theorem clt states that the distribution of sample means approximates a normal distribution as the sample size gets larger.
Uniform central limit theorems for multidimensional. The main theorem, a uniform central limit theorem for the empirical process due to david pollard, and extended by richard. Uniform central limit theorems by rm dudley cambridge. Sources and studies in the history of mathematics and physical sciences managing editor j. This book shows how the central limit theorem for independent, identically distributed random variables with values in general, multidimensional spaces, holds uniformly over some large classes of functions. In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included in the. A uniform central limit theorem for dependent variables article in applicationes mathematicae 362. M an extended wichura theorem, definition of donsker class, and. Uniform central limit theorems for multidimensional diffusions arxiv.
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