Recently, a number of statistical problems have found an unexpected solution by inspecting them through a "modal point of view". These include classical tasks such as clustering or regression. This has led to a renewed interest in estimation and inference for the mode. This paper offers an extensive survey of the traditional approaches to mode estimation and explores the consequences of applying this modern modal methodology to other, seemingly unrelated, fields.

中文翻译：

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统计学的模态时代

最近，许多统计问题通过“模态观点”进行检查，找到了意想不到的解决方案。这些包括经典任务，例如聚类或回归。这导致人们对模式的估计和推理重新产生兴趣。本文对模态估计的传统方法进行了广泛的调查，并探讨了将这种现代模态方法应用于其他看似无关的领域的后果。