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What is Learnable in Valiant's Theory of the Learnable? 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A dependent Lindeberg central limit theorem for cluster functionals on stationary random fields
José G. Gómez-García · 2020-03-06 · via math.ST updates on arXiv.org

In this paper, we provide a central limit theorem for the finite-dimensional marginal distributions of empirical processes $(Z_n(f))_{f\in\mathcal{F}}$ whose index set $\mathcal{F}$ is a family of cluster functionals valued on blocks of values of a stationary random field. The practicality and applicability of the result depends mainly on the usual Lindeberg condition and a sequence $T_n$ which summarizes the dependence between the blocks of the random field values. Finally, as application, we use the previous result in order to show the Gaussian asymptotic behavior of the iso-extremogram estimator introduced in this paper.

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