
Kurtosisbased projection pursuit for matrixvalued data
We develop projection pursuit for data that admit a natural representati...
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Spatial Blind Source Separation in the Presence of a Drift
Multivariate measurements taken at different spatial locations occur fre...
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Blind source separation for nonstationary random fields
Regional data analysis is concerned with the analysis and modeling of me...
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Stationary subspace analysis based on secondorder statistics
In stationary subspace analysis (SSA) one assumes that the observable p...
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LargeSample Properties of Blind Estimation of the Linear Discriminant Using Projection Pursuit
We study the estimation of the linear discriminant with projection pursu...
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TBSSvis: Visual Analytics for Temporal Blind Source Separation
Temporal Blind Source Separation (TBSS) is used to obtain the true, unde...
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Test of the Latent Dimension of a Spatial Blind Source Separation Model
We assume a spatial blind source separation model in which the observed ...
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NonGaussian component analysis: testing the dimension of the signal subspace
Dimension reduction is a common strategy in multivariate data analysis w...
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Sliced Inverse Regression for Spatial Data
Sliced inverse regression is one of the most popular sufficient dimensio...
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Independent Component Analysis for Compositional Data
Compositional data represent a specific family of multivariate data, whe...
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Notion of information and independent component analysis
Partial orderings and measures of information for continuous univariate ...
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Spatial Blind Source Separation
Recently a blind source separation model was suggested for multivariate ...
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Extracting conditionally heteroscedastic components using ICA
In the independent component model, the multivariate data is assumed to ...
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Sliced Average Variance Estimation for Multivariate Time Series
Supervised dimension reduction for time series is challenging as there m...
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Determining the signal dimension in second order source separation
While an important topic in practice, the estimation of the number of no...
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Asymptotically and computationally efficient tensorial JADE
In this work, we propose a novel method for tensorial independent compon...
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On the number of signals in multivariate time series
We assume a secondorder source separation model where the observed mult...
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Independent component analysis for multivariate functional data
We extend two methods of independent component analysis, fourth order bl...
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Klaus Nordhausen
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