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S. Guerrier

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Preprint Sep 2026

On tail-robust autocovariance matrix estimation for high-dimensional and potentially nonstationary time series

In this paper, we study the autocovariance matrix estimation and inference problems under heavy-tailedness, high-dimensionality, general nonlinear temporal dependence, and potentially nonstationarity of time series. We consider two types of tail-robust autocovariance matrix estimation methods: the element-wise Huber's...

Hao-Tian Xu, S. Guerrier, Run-Ze Li et al. · 0 citations

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