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A survey of high dimension low sample size asymptotics

机译:高维低样本量无症状调查

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Peter Hall's work illuminated many aspects of statistical thought, some of which are very well known including the bootstrap and smoothing. However, he also explored many other lesser known aspects of mathematical statistics. This is a survey of one of those areas, initiated by a seminal paper in 2005, on high dimension low sample size asymptotics. An interesting characteristic of that first paper, and of many of the following papers, is that they contain deep and insightful concepts which are frequently surprising and counter-intuitive, yet have mathematical underpinnings which tend to be direct and not difficult to prove.
机译:彼得·霍尔(Peter Hall)的工作阐明了统计思想的许多方面,其中一些是众所周知的,包括自举和平滑。但是,他还探索了数理统计中其他许多鲜为人知的方面。这是对其中一个领域的调查,该研究于2005年由开创性论文发起,涉及高维度,低样本量的渐近现象。第一篇论文以及随后的许多论文的一个有趣的特征是,它们包含了深刻而有见地的概念,这些概念通常令人惊讶且违反直觉,但具有数学基础,这些基础往往是直接的且不难证明。

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