Estimation of the Global Mode of a Density: Minimaxity, Adaptation, and Computational Complexity

Ery Arias-Castro; Wanli Qiao; Lin Zheng

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arXiv · 2104.07870

Estimation of the Global Mode of a Density: Minimaxity, Adaptation, and Computational Complexity

Ery Arias-Castro·Wanli Qiao·Lin Zheng

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Abstract

We consider the estimation of the global mode of a density under some decay rate condition around the global mode. We show that the maximum of a histogram, with proper choice of bandwidth, achieves the minimax rate that we establish for the setting that we consider. This is based on knowledge of the decay rate. Addressing the situation where the decay rate is unknown, we propose a multiscale variant consisting in the recursive refinement of a histogram, which is shown to be minimax adaptive. These methods run in linear time, and we prove in an appendix that this is best possible: There is no estimation procedure that runs in sublinear time that achieves the minimax rate.

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Ery Arias-Castro, Wanli Qiao, Lin Zheng. 2021-04-16. Estimation of the Global Mode of a Density: Minimaxity, Adaptation, and Computational Complexity. https://arxiv.org/abs/2104.07870

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