1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Principal component analysis for max-stable distributions
Felix Reinbott, Anja Janßen
Principal component analysis (PCA) is one of the most popular dimension reduction techniques in statistics and is especially powerful when a multivariate distribution is concentrat…
stat.ME2021★ 1 cited
A semi-group approach to Principal Component Analysis
Martin Schlather, Felix Reinbott
Principal Component Analysis (PCA) is a well known procedure to reduce intrinsic complexity of a dataset, essentially through simplifying the covariance structure or the correlatio…