Joni Virta
Joni Virta
Post-doctoral researcher, University of Turku, Finland
Verified email at utu.fi - Homepage
Title
Cited by
Cited by
Year
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
282017
Independent component analysis for tensor-valued data
J Virta, B Li, K Nordhausen, H Oja
Journal of Multivariate Analysis, 2017
262017
Projection Pursuit for non-Gaussian Independent Components
J Virta, K Nordhausen, H Oja
arXiv preprint arXiv:1612.05445, 2016
192016
The squared symmetric FastICA estimator
J Miettinen, K Nordhausen, H Oja, S Taskinen, J Virta
Signal Processing 131, 402-411, 2017
182017
JADE for tensor-valued observations
J Virta, B Li, K Nordhausen, H Oja
Journal of Computational and Graphical Statistics 27 (3), 628-637, 2018
172018
Blind source separation of tensor-valued time series
J Virta, K Nordhausen
Signal Processing 141, 204-216, 2017
162017
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
152017
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
112016
Joint Use of Third and Fourth Cumulants in Independent Component Analysis
J Virta, K Nordhausen, H Oja
arXiv preprint arXiv:1505.02613, 2015
102015
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
92018
tensorBSS-package: Blind Source Separation Methods for Tensor-Valued...
J Virta, C Koesner, B Li, K Nordhausen, H Oja
8*2020
Independent component analysis for multivariate functional data
J Virta, B Li, K Nordhausen, H Oja
Journal of Multivariate Analysis 176, 104568, 2020
62020
Determining the signal dimension in second order source separation
J Virta, K Nordhausen
arXiv preprint arXiv:1808.10669, 2018
62018
Blind source separation for nonstationary tensor-valued time series
J Virta, K Nordhausen
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
62017
Spatial blind source separation
F Bachoc, MG Genton, K Nordhausen, A Ruiz-Gazen, J Virta
Biometrika 107 (3), 627-646, 2020
52020
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
52018
An overview of properties and extensions of FOBI
K Nordhausen, J Virta
Knowledge-Based Systems 173, 113-116, 2019
42019
Estimating the number of signals using principal component analysis
J Virta, K Nordhausen
Stat 8 (1), e231, 2019
42019
On the Optimal Non-linearities for Gaussian Mixtures in FastICA
J Virta, K Nordhausen
International Conference on Latent Variable Analysis and Signal Separation …, 2017
42017
Ladle estimator for time series signal dimension
K Nordhausen, J Virta
2018 IEEE Statistical Signal Processing Workshop (SSP), 428-432, 2018
32018
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