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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In a recent study posted to the bioRxiv* preprint server, researchers predicted severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleotide sequences using outlier detection. Study: ...

Based on an August 2020 report by Interpol, more people have been spending time online since the start of the coronavirus pandemic, which has resulted in increased cybercrime. UK Finance also claimed ...

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and ...