Directional weirdness: when statistical depth runs out of depth
Article: Directional Outlyingness for Multivariate Functional DataAuthors and Year: Wenlin Dai & Marc G. Genton 2019Journal: Computational Statistics & Data Analysis Review Prepared by: Moinak BhaduriDepartment of Mathematical Science, Bentley University, Massachusetts Outliers are individuals and entities to whom we have forever turned with awe and skepticism, with curiosity and suspicion, with expectation and anxiety. They do not fit the norm and are, oftentimes, for better or for worse, risky to ignore. Malcolm Gladwell in his book Outliers: The story of Success samples our society and brings out such remarkable individuals and examines commonalities: what thread binds them, what makes them deviate from the crowd. And just as a common tendency is difficult to pinpoint while investigating these people – some were forced to the extremes by social pressure or hardships, while some others are propelled by sheer curiosity – statistical data which are more complex than simple numbers, may…