| Asymptotic and bootstrap tests for the dimension of the non-Gaussian subspace K Nordhausen, H Oja, DE Tyler, J Virta IEEE Signal Processing Letters 24 (6), 887-891, 2017 | 40 | 2017 |
| Independent component analysis for tensor-valued data J Virta, B Li, K Nordhausen, H Oja Journal of Multivariate Analysis, 2017 | 34 | 2017 |
| The squared symmetric FastICA estimator J Miettinen, K Nordhausen, H Oja, S Taskinen, J Virta Signal Processing 131, 402-411, 2017 | 23 | 2017 |
| Blind source separation of tensor-valued time series J Virta, K Nordhausen Signal Processing 141, 204-216, 2017 | 21 | 2017 |
| Projection Pursuit for non-Gaussian Independent Components J Virta, K Nordhausen, H Oja arXiv preprint arXiv:1612.05445, 2016 | 21 | 2016 |
| JADE for tensor-valued observations J Virta, B Li, K Nordhausen, H Oja Journal of Computational and Graphical Statistics 27 (3), 628-637, 2018 | 20 | 2018 |
| ICtest: estimating and testing the number of interesting components in linear dimension reduction K Nordhausen, H Oja, DE Tyler, J Virta URL https://CRAN. R-project. org/package= ICtest. R package version 0.3, 2017 | 18 | 2017 |
| Spatial blind source separation F Bachoc, MG Genton, K Nordhausen, A Ruiz-Gazen, J Virta Biometrika 107 (3), 627-646, 2020 | 16 | 2020 |
| Tensorial blind source separation for improved analysis of multi-omic data AE Teschendorff, H Jing, DS Paul, J Virta, K Nordhausen Genome Biology 19 (1), 76, 2018 | 13 | 2018 |
| Applying fully tensorial ICA to fMRI data J Virta, S Taskinen, K Nordhausen 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2016 | 13 | 2016 |
| tensorBSS-package: Blind Source Separation Methods for Tensor-Valued... J Virta, C Koesner, B Li, K Nordhausen, H Oja | 12* | 2020 |
| On the number of signals in multivariate time series M Matilainen, K Nordhausen, J Virta International Conference on Latent Variable Analysis and Signal Separation …, 2018 | 11 | 2018 |
| Independent component analysis for multivariate functional data J Virta, B Li, K Nordhausen, H Oja Journal of Multivariate Analysis 176, 104568, 2020 | 10 | 2020 |
| An overview of properties and extensions of FOBI K Nordhausen, J Virta Knowledge-Based Systems 173, 113-116, 2019 | 10 | 2019 |
| Determining the signal dimension in second order source separation J Virta, K Nordhausen arXiv preprint arXiv:1808.10669, 2018 | 10 | 2018 |
| Joint Use of Third and Fourth Cumulants in Independent Component Analysis J Virta, K Nordhausen, H Oja arXiv preprint arXiv:1505.02613, 2015 | 10 | 2015 |
| Ladle estimator for time series signal dimension K Nordhausen, J Virta 2018 IEEE Statistical Signal Processing Workshop (SSP), 428-432, 2018 | 9 | 2018 |
| Estimating the number of signals using principal component analysis J Virta, K Nordhausen Stat 8 (1), e231, 2019 | 8 | 2019 |
| Blind source separation for nonstationary tensor-valued time series J Virta, K Nordhausen 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 8 | 2017 |
| tsBSS: Blind source separation and supervised dimension reduction for time series M Matilainen, C Croux, J Miettinen, K Nordhausen, H Oja, S Taskinen, ... R package version 0.5, 2018 | 6 | 2018 |
Klaus NordhausenDepartment of Mathematics and Statistics, University of JyväskyläVerified email at jyu.fi
