Research team
Expertise
My expertise: - Multivariate statistics - Robust statistics - Anomaly detection - Clustering - visualization - statistical machine learning
Statistical learning under cellwise contamination.
Abstract
This proposal bridges knowledge from robust statistics, machine learning and optimization and builds on my very recent work on robust covariance estimation to introduce general frameworks for unsupervised and supervised statistical learning under cellwise contamination. The project considers covariance estimation, principal component analysis, linear regression and logistic regression. It allows for extensions in the direction of regularized estimation and nonlinear modeling using kernels. In addition to the development of methodology, the project aims to assess the gravity of cellwise contamination in practical challenges by collaborating with experts on macro-economic time series modeling and drug development.Researcher(s)
- Promoter: Raymaekers Jakob
- Fellow: Raymaekers Jakob
Research team(s)
Project type(s)
- Research Project