Tag: outliers
-
funOCLUST: Clustering Functional Data with Outliers
funOCLUST: Clustering Functional Data with Outliers arXiv:2508.00110v1 Announce Type: new Abstract: Functional data present unique challenges for clustering due to their infinite-dimensional nature and potential sensitivity to outliers. An extension of the OCLUST algorithm to the functional setting is proposed to address these issues. The approach leverages the OCLUST framework, creating a robust method to…
-
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach arXiv:2505.04986v1 Announce Type: new Abstract: Conformal prediction is a powerful tool for constructing prediction intervals for black-box models, providing a finite sample coverage guarantee for exchangeable data. However, this exchangeability is compromised when some entries of the test feature are contaminated, such as in the case of…