| 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 | 50 | 2017 |
| Independent component analysis for tensor-valued data J Virta, B Li, K Nordhausen, H Oja Journal of Multivariate Analysis, 2017 | 41 | 2017 |
| Spatial blind source separation F Bachoc, MG Genton, K Nordhausen, A Ruiz-Gazen, J Virta Biometrika 107 (3), 627-646, 2020 | 31 | 2020 |
| The squared symmetric FastICA estimator J Miettinen, K Nordhausen, H Oja, S Taskinen, J Virta Signal Processing 131, 402-411, 2017 | 29 | 2017 |
| 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 | 28 | 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 | 26 | 2017 |
| Projection Pursuit for non-Gaussian Independent Components J Virta, K Nordhausen, H Oja arXiv preprint arXiv:1612.05445, 2016 | 24 | 2016 |
| Independent component analysis for multivariate functional data J Virta, B Li, K Nordhausen, H Oja Journal of Multivariate Analysis 176, 104568, 2020 | 23 | 2020 |
| JADE for tensor-valued observations J Virta, B Li, K Nordhausen, H Oja Journal of Computational and Graphical Statistics 27 (3), 628-637, 2018 | 21 | 2018 |
| Blind source separation of tensor-valued time series J Virta, K Nordhausen Signal Processing 141, 204-216, 2017 | 21 | 2017 |
| tensorBSS-package: Blind Source Separation Methods for Tensor-Valued... J Virta, C Koesner, B Li, K Nordhausen, H Oja | 18* | 2020 |
| Estimating the number of signals using principal component analysis J Virta, K Nordhausen Stat 8 (1), e231, 2019 | 18 | 2019 |
| An overview of properties and extensions of FOBI K Nordhausen, J Virta Knowledge-Based Systems 173, 113-116, 2019 | 16 | 2019 |
| 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 | 16 | 2016 |
| Determining the signal dimension in second order source separation J Virta, K Nordhausen Statistica Sinica 31 (1), 135-156, 2021 | 15 | 2021 |
| On the number of signals in multivariate time series M Matilainen, K Nordhausen, J Virta Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 14 | 2018 |
| Effects of physical activity intervention on 24-h movement behaviors: a compositional data analysis J Pasanen, T Leskinen, K Suorsa, A Pulakka, J Virta, K Auranen, ... Scientific Reports 12 (1), 8712, 2022 | 13 | 2022 |
| Sliced Inverse Regression in Metric Spaces J Virta, KY Lee, L Li Statistica Sinica 32, 2315-2337, 2022 | 10 | 2022 |
| On the Behavior of Extreme d-dimensional Spatial Quantiles Under Minimal Assumptions D Paindaveine, J Virta Advances in Contemporary Statistics and Econometrics: Festschrift in Honor …, 2021 | 10 | 2021 |
| Ladle estimator for time series signal dimension K Nordhausen, J Virta 2018 IEEE Statistical Signal Processing Workshop (SSP), 428-432, 2018 | 10 | 2018 |
Klaus NordhausenDepartment of Mathematics and Statistics, University of HelsinkiDirección de correo verificada de helsinki.fi
