Rectangular Hull Confidence Regions for Multivariate Parameters

Aniket Jain; Arun K Kuchibhotla

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arXiv · 2311.16598

Rectangular Hull Confidence Regions for Multivariate Parameters

Aniket Jain·Arun K Kuchibhotla

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Abstract

We introduce three notions of multivariate median bias, namely, rectilinear, Tukey, and orthant median bias. Each of these median biases is zero under a suitable notion of multivariate symmetry. We study the coverage probabilities of rectangular hull of $B$ independent multivariate estimators, with special attention to the number of estimators $B$ needed to ensure a miscoverage of at most $\alpha$. It is proved that for estimators with zero orthant median bias, we need $B\geq c\log_2(d/\alpha)$ for some constant $c > 0$. Finally, we show that there exists an asymptotically valid (non-trivial) confidence region for a multivariate parameter $\theta_0$ if and only if there exists a (non-trivial) estimator with an asymptotic orthant median bias of zero.

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Aniket Jain, Arun K Kuchibhotla. 2023-11-28. Rectangular Hull Confidence Regions for Multivariate Parameters. https://arxiv.org/abs/2311.16598

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