Advanced Statistical Methods and Models
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Scope of this subject
This cluster of papers focuses on the detection, impact, and handling of multicollinearity in regression analysis. It discusses methods for identifying outliers, robust estimation techniques, variance inflation factors, and the use of depth functions in analyzing data. The cluster also explores the relative importance of predictors, principal component analysis, and the application of these concepts to functional data.
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Research vocabulary
robust estimation; outliers; multicollinearity; robust regression; heteroscedasticity; functional data analysis; influential observations; robust statistics; ordinary least squares; M-estimation; influence function; functional data; breakdown point; functional principal component analysis; regression diagnostics; contaminated data; least squares estimator; regression coefficient estimation; robust estimators; functional regression; homoscedasticity; least absolute deviation; robust inference; local influence; trimmed mean
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Local answer status
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Numeric address and provenance
Morton address: 36249524117613757 · morton4x16-v1
Coordinates: (3, 26, 2613, 11871). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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