{"id":29,"date":"2016-03-09T07:55:27","date_gmt":"2016-03-09T07:55:27","guid":{"rendered":"http:\/\/users.utu.fi\/jomivi\/?page_id=29"},"modified":"2026-03-24T13:20:05","modified_gmt":"2026-03-24T13:20:05","slug":"publications","status":"publish","type":"page","link":"https:\/\/users.utu.fi\/jomivi\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h3>Peer-reviewed articles (updated 5th of January 2026)<\/h3>\n<p>49. Virta J. (2026) Spatial depth for data in metric spaces. Accepted for publication in <em>Scandinavian Journal of Statistics.\u00a0<\/em>Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2306.09740\">arXiv<\/a>.<\/p>\n<p>48. Radoji\u010di\u0107 U., Nordhausen K., Virta J. (2026) Unsupervised linear discrimination using skewness. <em>Journal of Multivariate Analysis, <\/em>211, 105524. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2508.02412\">arXiv<\/a>.<\/p>\n<p>47. Heinonen L., Virta J. (2026) A method for sparse and robust independent component analysis. <em>Journal of Multivariate Analysis,<\/em>\u00a0213, May 2026, 105587<em>. <\/em>Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2502.04046\">arXiv<\/a>.<\/p>\n<p>46. Perkonoja K., Auranen K., Virta J. (2025) Methods for generating and evaluating synthetic longitudinal patient data: a systematic review. <em>Journal of Healthcare Informatics Research, <\/em>10, 1-39. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2309.12380\">arXiv<\/a>.<\/p>\n<p>45. Virta J., Nordhausen K., Nagy S. (2025) Projection-based estimators for matrix\/tensor-valued data. Accepted for publication in <em>Scandinavian Journal of Statistics.<\/em><\/p>\n<p>44. Radoji\u010di\u0107 U., Virta J. (2025) Dimension estimation in a spiked covariance model using high-dimensional data augmentation. <em>Biometrika,<\/em> 112(4). Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2502.04220\">arXiv<\/a>.<\/p>\n<p>43. Sotoudehnia-Falck P., Virta J., Lehto K., Tyystj\u00e4rvi E. (2025) Quince seed mucilage as an alternative for agar in plant tissue culture. <em>Discover Plants, <\/em>2, 224.<\/p>\n<p>42. Radoji\u010di\u0107 U., Nordhausen K., Virta J. (2025) Kurtosis-based projection pursuit for matrix-valued data. <em>Annals of Statistics,<\/em>\u00a053(6), 2563-2591. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2109.04167\">arXiv<\/a>.<\/p>\n<p>41. Kartiosuo N., Virta J., Nevalainen J., Raitakari O., Auranen K. (2025) On the distribution of isometric log-ratio coordinates under extra-multinomial count data. <em>Statistical Papers, <\/em>66.<\/p>\n<p>40. Virta J. (2025) Measure of shape for object data. Accepted for publication in <em>Journal of Nonparametric Statistics<\/em>.<\/p>\n<p>39. Radoji\u010di\u0107 U., Lietz\u00e9n N., Nordhausen K., Virta J. (2025) Order determination for tensor-valued observations using data augmentation. <em>Journal of Computational and Graphical Statistics, <\/em>35(1), 40-50.<\/p>\n<p>38. Heinonen L., Nyberg H., Virta J. (2025) Weighted embedding and outlier detection of metric space data. <em>Advances in Data Analysis and Classification<\/em>, 1-37.<\/p>\n<p>37. Archimbaud A., Boulfani F., Gendre X., Nordhausen K., Ruiz-Gazen A., Virta J. (2022) ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control. Accepted for publication in <em>Econometrics and Statistics<\/em>.<\/p>\n<p>36. Virta J., Artemiou A. (2024) Structure-preserving non-linear PCA for matrices. <em>IEEE Transactions on Signal Processing, <\/em>72, 3658-3668. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2310.06485\">arXiv<\/a>.<\/p>\n<p>35. Perkonoja K., Virta J. (2024) Asymptotic utility of spectral anonymization. In the proceedings of <em>Privacy in Statistical Databases<\/em> (PSD2024), 51-66. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2405.20779\">arXiv<\/a>.<\/p>\n<p>34. Bachoc F., M\u00fchlmann C., Nordhausen K., Virta J. (2024) Large-Sample Properties of Non-Stationary Source Separation for Gaussian Signals. <em>Electronic Journal of Statistics<\/em>, Vol. 18, No. 1, 2241-2291.\u00a0Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2209.10176\">arXiv<\/a>.<\/p>\n<p>33. Virta J., Lietz\u00e9n N., Viitasaari L., Ilmonen P. (2024) Latent model extreme value index estimation. <em>Journal of Multivariate Analysis<\/em>, Volume 202, July 2024, 105300.\u00a0Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2003.10330\">arXiv<\/a>.<\/p>\n<p>32. Virta J., Lietz\u00e9n N., and Nyberg H. (2023) Robust signal dimension estimation via SURE. Accepted for publication in <em>Statistical Papers<\/em>. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2203.16233\">arXiv<\/a>.<\/p>\n<p>31. Autio R., Virta J., Nordhausen K., Fogelholm M., Erkkola M., and Nevalainen J. (2023) Tensorial principal component analysis in detecting temporal trajectories of purchase patterns in loyalty card data: Cohort study. <em>Journal of Medical Internet Research,<\/em> 25, e44599.<\/p>\n<p>30. Virta J., Artemiou A. (2023) Poisson PCA for matrix count data. <em>Pattern\u00a0<\/em><i>Recognition,\u00a0<\/i>138, 109401<i>.<\/i>\u00a0Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2110.14420\">arXiv<\/a>.<\/p>\n<p>29. Nordhausen, K., Taskinen, S. and Virta, J. (2022) Signal Dimension Estimation in BSS Models with Serial Dependence. In the proceedings of the <em>2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering<\/em> (ICECCME), 360-366.<\/p>\n<p>28. Virta J., Lee K.-Y., Li L. (2022) Sliced inverse regression in metric spaces. <em>Statistica Sinica<\/em>, 32, p. 2315-2337. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2206.11511\">arXiv<\/a>.<\/p>\n<p>27. Leskinen T., Pasanen J., Suorsa K., Pulakka A., Virta J., Auranen K., Stenholm S. (2022) Effects of physical activity intervention on 24-hour movement behaviors: A compositional data analysis. <i>Scientific Reports<\/i>, <i>12<\/i>(1), 8712.<\/p>\n<p>26. H\u00e4nninen J., M\u00e4kinen K., Nordhausen K., Laaksonlaita J., Loisa O., Virta, J. (2022) The \u201cSeili-index\u201d for the prediction of chlorophyll- \u03b1 levels in the archipelago sea of the northern Baltic Sea, Southwest Finland. <i>Environmental Modeling &amp; Assessment<\/i>, <i>27<\/i>(4), 571-584.<\/p>\n<p>25. Radoji\u010di\u0107 U., Nordhausen K., Virta J. (2021), Large-sample properties of blind estimation of the linear discriminant using projection pursuit. <em>Electronic Journal of Statistics<\/em>, 15(2), p. 6677-6739<em>.<\/em>\u00a0Preprint in <a href=\"https:\/\/arxiv.org\/abs\/2103.04678\">arXiv<\/a>.<\/p>\n<p>24. Virta J. (2021), Testing for subsphericity when n and p are of different asymptotic order. <em>Statistics &amp; Probability Letters<\/em>, 179, 109209. <a href=\"https:\/\/doi.org\/10.1016\/j.spl.2021.109209\">Link.<\/a><\/p>\n<p>23. Radoji\u010di\u0107 U., Lietz\u00e9n N., Nordhausen K., Virta J. (2021), Dimension estimation in two-dimensional PCA. Accepted for publication in the proceedings of the 12th <em>International Symposium on Image and Signal Processing and Analysis (ISPA)<\/em>.<\/p>\n<p>22. Paindaveine D., Virta J. (2021), On the behavior of extreme spatial quantiles under minimal assumptions. In A. Daouia and A. Ruiz-Gazen (editors) <em>Advances in Contemporary Statistics and Econometrics: Festschrift in Honor of Christine Thomas-Agnan<\/em>, p. 243-260, Springer, Cham.<\/p>\n<p>21. Nordhausen K., Matilainen M., Miettinen J., Virta J., Taskinen S. (2021), Dimension reduction for timeseries in a BSS context using R. <em>Journal of Statistical Software<\/em>, 98, p. 1-30.<\/p>\n<p>20. Virta J., Lietz\u00e9n N., Ilmonen P., Nordhausen K. (2021), Fast tensorial JADE. <em>Scandinavian Journal of Statistics<\/em>, 48(1), p. 164-187. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1808.00791\">arXiv<\/a>.<\/p>\n<p>19. Virta J., Nordhausen K. (2021), Determining the signal dimension in second order source separation. <em>Statistica Sinica<\/em>, 31, p. 135-156. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1808.10669\">arXiv<\/a>.<\/p>\n<p>18. Bachoc F., Genton M.G., Nordhausen K., Ruiz-Gazen A., Virta J. (2020), Spatial blind source separation. <em>Biometrika<\/em>, 107, p. 627-646. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1812.09187\">arXiv<\/a>.<\/p>\n<p>17. Lietz\u00e9n N., Virta J., Nordhausen K., Ilmonen P.(2020), Minimum distance index for BSS, Generalization, interpretation and asymptotics. <em>Austrian Journal of Statistics<\/em>, 49, p. 57-68.<\/p>\n<p>16. Virta J., Li B., Oja H., Nordhausen K. (2020), Independent component analysis for multivariate functional data. <em>Journal of Multivariate Analysis<\/em>, 176, 104568. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1712.07641\">arXiv<\/a>.<\/p>\n<p>15. Lietz\u00e9n N., Virta J., Nordhausen K., Ilmonen P. (2019), Minimum distance index for non-square complex valued mixing matrices. In Filzmoser P. and Kharin Y. (editors) <em>Proceedings of the 12th International Conference on Computer Data Analysis and Modeling<\/em>, p. 79-86, Minsk Publishing Center BSU, Minsk.<\/p>\n<p>14. Virta J., Nordhausen K. (2019), Estimating the number of signals using principal component analysis. <em>Stat<\/em>, 8, e231.<\/p>\n<p>13. Nordhausen K., Virta J. (2019), An overview of properties and extensions of FOBI. <em>Knowledge-Based Systems<\/em>, 173, p. 113-116.<\/p>\n<p>12. Teschendorff A., Han J., Paul D., Virta J., Nordhausen K. (2018), Tensorial blind source separation for improved analysis of multi-omic data. <em>Genome Biology<\/em>, 19, 76. Preprint in <a href=\"https:\/\/www.biorxiv.org\/content\/early\/2018\/04\/13\/300277\">bioRxiv<\/a>.<\/p>\n<p>11. Nordhausen K., Virta J. (2018), Ladle estimator for time series signal dimension. In the proceedings of <em>IEEE Statistical Signal Processing Workshop (SSP)<\/em>, p. 428-432.<\/p>\n<p>10. Matilainen M., Nordhausen K., Virta J. (2018), On the number of signals in multivariate time series. In Deville Y., Gannot S., Mason R., Plumbley M., Ward D. (editors) <em>Latent Variable Analysis and Signal Separation (LVA\/ICA)<\/em>, Lecture Notes in Computer Science, 10891. Springer, Cham. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1801.04925\">arXiv<\/a>.<\/p>\n<p>9. Virta J., Li B., Nordhausen K., Oja H. (2018), JADE for tensor-valued observations. <em>Journal of Computational and Graphical Statistics<\/em>, 27(3), p. 628-637. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1603.05406\">arXiv<\/a>..<\/p>\n<p>8. Virta J., Li B., Nordhausen K., Oja H. (2017), Independent component analysis for tensor-valued data. <em>Journal of Multivariate Analysis<\/em>, 162, p. 172-192. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1602.00879\">arXiv<\/a>.<\/p>\n<p>7. Virta J., Nordhausen K. (2017), Blind source separation for nonstationary tensor-valued time series. In the proceedings of <em>IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)<\/em>.<\/p>\n<p>6. Virta J., Nordhausen K. (2017), Blind source separation of tensor-valued time series. <em>Signal Processing<\/em>,141, p. 204\u2013216. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1703.10381\">arXiv<\/a>.<\/p>\n<p>5. Nordhausen K., Oja H., Tyler D.E., Virta J. (2017), Asymptotic and bootstrap tests for the dimension of the non-Gaussian subspace. <em>IEEE Signal Processing Letters<\/em>, 24(6), p. 887\u2013891. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1701.06836\">arXiv<\/a>.<\/p>\n<p>4. Virta J., Nordhausen K. (2017), On the optimal non-linearities for Gaussian mixtures in FastICA. In Tichavsk\u00fd P., Babaie-Zadeh M., Michel O., Thirion-Moreau N. (editors), <em>Latent Variable Analysis and Signal Separation (LVA\/ICA)<\/em>. Lecture Notes in Computer Science, 10169. Springer, Cham.<\/p>\n<p>3. Miettinen J., Nordhausen K., Oja H., Taskinen S., Virta J. (2017), The squared symmetric FastICA estimator. <em>Signal Processing<\/em>, 131, p. 402-411. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1512.05534\">arXiv<\/a>.<\/p>\n<p>2. Virta J., Taskinen S., Nordhausen K. (2016), Applying fully tensorial ICA to fMRI data. In the proceedings of <em>IEEE Signal Processing in Medicine and Biology Symposium 2016 (SPMB)<\/em>.<\/p>\n<p>1. Virta J. (2015), One-step M-estimates of scatter and the independence property. <em>Statistics &amp; Probability Letters<\/em>, 110, p. 133-136.<\/p>\n<h3>Preprints<\/h3>\n<p>Virta J.: On characterizations of the covariance matrix. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1810.01147\">arXiv<\/a>.<\/p>\n<p>Virta J., Nordhausen K., Oja H.: Projection pursuit for non-Gaussian independent components. Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1612.05445\">arXiv<\/a>.<\/p>\n<h3>Software<\/h3>\n<ul>\n<li>M\u00fchlmann C., Nordhausen K., Virta J. SpatialBSS: Blind Source Separation for Multivariate Spatial Data, R-package, available from <a href=\"https:\/\/CRAN.R-project.org\/package=SpatialBSS\">CRAN<\/a>.<\/li>\n<li>Gorskikh O., Malo P., Ilmonen P., Viitasaari L., Virta J. changedetection: Nonparametric Change Detection in Multivariate Linear Relationships, R-package, available from <a href=\"https:\/\/CRAN.R-project.org\/package=changedetection\">CRAN<\/a>.<\/li>\n<li>Matilainen M., Croux C., Miettinen J., Nordhausen K. Oja H., Taskinen S., Virta J. tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series, R-package, available from <a href=\"https:\/\/CRAN.R-project.org\/package=tsBSS\">CRAN<\/a>.<\/li>\n<li>Nordhausen K., Oja H., Tyler D.E., Virta J. ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction, R-package, available from <a href=\"https:\/\/CRAN.R-project.org\/package=ICtest\">CRAN<\/a>.<\/li>\n<li>Virta J., Li B., Nordhausen K., Oja H. tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations, R-package, available from <a href=\"https:\/\/CRAN.R-project.org\/package=tensorBSS\">CRAN<\/a>.<\/li>\n<\/ul>\n<h3>Unpublished preprints<\/h3>\n<ul>\n<li>Virta J., Nordhausen K. and Oja H. (2015): Joint use of third and fourth cumulants in independent component analysis<i>.<\/i>\u00a0Preprint in <a href=\"https:\/\/arxiv.org\/abs\/1505.02613\">arXiv<\/a>.<\/li>\n<\/ul>\n<h3>Theses<\/h3>\n<ul>\n<li>Virta J. (2018): <i>Independent component analysis for non-standard data structures<\/i>, Doctoral thesis, University of Turku, Finland, intro available <a href=\"http:\/\/www.utupub.fi\/handle\/10024\/144679\">here<\/a>.<br \/>\n<b>Accepted with honours<\/b>.<\/li>\n<li>Virta J. (2014): <i>Some tools for linear dimension reduction<\/i>, Master&#8217;s thesis, University of Turku, Finland.<br \/>\n<b>Received the Leo T\u00f6rnqvist prize for the best master&#8217;s thesis in statistics in Finland 2013-2014.<\/b><\/li>\n<li>Virta J. (2012): <i>P\u00e4\u00e4komponenttianalyysi (Principal Component Analysis)<\/i>, Bachelor&#8217;s thesis, University of Turku, Finland.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Peer-reviewed articles (updated 5th of January 2026) 49. Virta J. (2026) Spatial depth for data in metric spaces. Accepted for publication in Scandinavian Journal of Statistics.\u00a0Preprint in arXiv. 48. Radoji\u010di\u0107 U., Nordhausen K., Virta J. (2026) Unsupervised linear discrimination using [&hellip;]<\/p>\n","protected":false},"author":55,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-29","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/pages\/29","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/users\/55"}],"replies":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/comments?post=29"}],"version-history":[{"count":145,"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/pages\/29\/revisions"}],"predecessor-version":[{"id":1092,"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/pages\/29\/revisions\/1092"}],"wp:attachment":[{"href":"https:\/\/users.utu.fi\/jomivi\/wp-json\/wp\/v2\/media?parent=29"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}