Joni Virta
Academy Research Fellow/Assistant Professor
jomivi@utu.fi +358 29 450 4321 +358 50 350 9623 Office: 262 ORCID identifier: https://orcid.org/0000-0002-2150-2769 |
Dimension reduction; Multivariate statistics; Asymptotic statistics
Robust non-linear multivariate methods
I obtained my PhD in Statistics from University of Turku in 2018 under the supervision of Hannu Oja, Klaus Nordhausen and Bing Li. In 2018-2019 I worked as a postdoctoral researcher in the Department of Mathematics and Systems Analysis in Aalto University School of Science and received also the title of docent from there. Between 2019-2022 I worked as an Academy of Finland Postdoctoral Researcher first in Aalto and later in Turku.
Since September 2022 I have been working at Department of Mathematics in the dual role of Academy Research Fellow and Assistant Professor (with specialization in the theoretical foundations of statistics).
My current main research area is robust non-linear methodology, which I study under my Academy Research Fellow project. In addition, my research emphasizes the modification of classical multivariate methodology (such as PCA) to work under non-standard forms of data (images, function, spatial data) and the asymptotic theory related to these questions.
Between 2022-2027 my amount of teaching will be small because of my role as an Academy Research Fellow. However, I still teach, e.g, Advanced Multivariate Methods during this period.
- Independent component analysis for multivariate functional data (2020)
- Journal of Multivariate Analysis
(A1 Refereed original research article in a scientific journal) - Minimum Distance Index for BSS, Generalization, Interpretation and Asymptotics (2020)
- Austrian Journal of Statistics
(A1 Refereed original research article in a scientific journal) - Spatial Blind Source Separation (2020)
- Biometrika
(A1 Refereed original research article in a scientific journal) - Independent component analysis for non-standard data structures (2018) Virta Joni
(G5 Article dissertation ) - JADE for Tensor-Valued Observations (2018)
- Journal of Computational and Graphical Statistics
(A1 Refereed original research article in a scientific journal) - On the number of signals in multivariate time series (2018)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Tensorial blind source separation for improved analysis of multi-omic data (2018)
- Genome Biology
(A1 Refereed original research article in a scientific journal) - Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian Subspace (2017)
- IEEE Signal Processing Letters
(A1 Refereed original research article in a scientific journal) - Blind source separation for nonstationary tensor-valued time series (2017) 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) Virta J., Nordhausen K.
(A4 Refereed article in a conference publication ) - Blind source separation of tensor-valued time series (2017)
- Signal Processing
(A1 Refereed original research article in a scientific journal) - Independent component analysis for tensor-valued data (2017)
- Journal of Multivariate Analysis
(A1 Refereed original research article in a scientific journal) - On the Optimal Non-linearities for Gaussian Mixtures in FastICA (2017)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - The squared symmetric FastICA estimator (2017)
- Signal Processing
(A1 Refereed original research article in a scientific journal) - Applying fully tensorial ICA to fMRI data (2016) Proceedings of the 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Joni Virta, Sara Taskinen, Klaus Nordhausen
(A4 Refereed article in a conference publication ) - ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction (2016) Klaus Nordhausen, Hannu Oja, David E. Tyler, Joni Virta
(I2 ICT program or software application ) - One-step M-estimates of scatter and the independence property (2016)
- Statistics and Probability Letters
(A1 Refereed original research article in a scientific journal) - R-package tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations (2016) Virta Joni, Li Bing, Nordhausen Klaus, Oja Hannu
(I2 ICT program or software application )