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09/07/2023
Data Type Agnostic Visual Sensitivity Analysis
Modern science and industry rely on computational models for simulation,...
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08/11/2023
The Asymptotic Properties of the One-Sample Spatial Rank Methods
For a set of p-variate data points y_1,…, y_n, there are several version...
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07/28/2023
Robust and Resistant Regularized Covariance Matrices
We introduce a class of regularized M-estimators of multivariate scatter...
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12/12/2022
Tandem clustering with invariant coordinate selection
For high-dimensional data or data with noise variables, tandem clusterin...
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09/21/2022
Large-Sample Properties of Non-Stationary Source Separation for Gaussian Signals
Non-stationary source separation is a well-established branch of blind s...
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08/19/2022
Approximating Symmetrized Estimators of Scatter via Balanced Incomplete U-Statistics
We derive limiting distributions of symmetrized estimators of scatter, w...
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07/21/2022
Order Determination for Tensor-valued Observations Using Data Augmentation
Tensor-valued data benefits greatly from dimension reduction as the redu...
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07/05/2022
Numerical considerations and a new implementation for ICS
Invariant Coordinate Selection (ICS) is a multivariate data transformati...
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12/16/2021
Visual Parameter Selection for Spatial Blind Source Separation
Multivariate measurements at irregularly-spaced points and their analysi...
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09/09/2021
Kurtosis-based projection pursuit for matrix-valued data
We develop projection pursuit for data that admit a natural representati...
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08/31/2021
Spatial Blind Source Separation in the Presence of a Drift
Multivariate measurements taken at different spatial locations occur fre...
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07/05/2021
Blind source separation for non-stationary random fields
Regional data analysis is concerned with the analysis and modeling of me...
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03/10/2021
Stationary subspace analysis based on second-order statistics
In stationary subspace analysis (SSA) one assumes that the observable p-...
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03/08/2021
Large-Sample 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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11/19/2020
TBSSvis: Visual Analytics for Temporal Blind Source Separation
Temporal Blind Source Separation (TBSS) is used to obtain the true, unde...
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11/03/2020
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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07/06/2020
Non-Gaussian component analysis: testing the dimension of the signal subspace
Dimension reduction is a common strategy in multivariate data analysis w...
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07/02/2020
Sliced Inverse Regression for Spatial Data
Sliced inverse regression is one of the most popular sufficient dimensio...
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07/01/2020
Independent Component Analysis for Compositional Data
Compositional data represent a specific family of multivariate data, whe...
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06/19/2020
Notion of information and independent component analysis
Partial orderings and measures of information for continuous univariate ...
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12/21/2018
Spatial Blind Source Separation
Recently a blind source separation model was suggested for multivariate ...
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11/27/2018
Extracting conditionally heteroscedastic components using ICA
In the independent component model, the multivariate data is assumed to ...
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10/05/2018
Sliced Average Variance Estimation for Multivariate Time Series
Supervised dimension reduction for time series is challenging as there m...
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08/31/2018
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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08/02/2018
Asymptotically and computationally efficient tensorial JADE
In this work, we propose a novel method for tensorial independent compon...
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01/14/2018
On the number of signals in multivariate time series
We assume a second-order source separation model where the observed mult...
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12/20/2017