Asymptotic stability of empirical processes and related functionals (Q2633763)

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Asymptotic stability of empirical processes and related functionals
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    Asymptotic stability of empirical processes and related functionals (English)
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    10 May 2019
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    Let $\xi_1,\xi_2,\dots$ be a stationary sequence of random trials, with $m_n$ the empirical measure of the first $n$ of these trials. One of the main results of the present paper is the almost sure convergence of these empirical measures in the $\psi$-weak topology as $n\rightarrow\infty$, where $\psi$ is a continuous function playing the role of a gauge function and the limit is in terms of a certain conditional distribution. \par Motivated by applications in financial risk, the authors also consider a functional $\tau$, studying strong consistency of the statistics $\tau(m_n)$ and giving conditions for asymptotic stability of $\tau(m_n)$ with respect to given perturbations of the data.
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    stationarity
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    weak convergence of empirical process
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    random measures
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    universal Glivenko-Cantelli classes
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    consistency
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    asymptotic stability
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