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- W2024952652 abstract "The present paper is mainly concerned with the strong approximation of ℙ-ℙ plot processes in ℝ d by sequences of Gaussian processes. In order to evaluate the limiting laws, a general notion of bootstrapped multidimensional ℙ-ℙ plots processes, constructed by exchangeably weighting sample, is presented and investigated. The applications discussed here are change-point detection in multivariate copula models and the law of iterated logarithm. Finally, we extend our framework to the K-sample problem and apply our results to derive the limiting laws of Kolmogorov-Smirnov and Cramér-von Mises statistics." @default.
- W2024952652 created "2016-06-24" @default.
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- W2024952652 date "2014-07-01" @default.
- W2024952652 modified "2023-10-16" @default.
- W2024952652 title "Strong approximation of multidimensional ℙ-ℙ plots processes by Gaussian processes with applications to statistical tests" @default.
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- W2024952652 doi "https://doi.org/10.3103/s1066530714030041" @default.
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