Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

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Commonly used outlier detection approaches, such as parts average testing or determining whether a die is good based upon other dies in the immediate neighborhood, are falling short in advanced ...