Joni
Virta
Assistant Professor, Statistics
Academy Research Fellow/Assistant Professor
Robust non-linear multivariate methods

Contact

+358 29 450 4321
+358 50 350 9623

Areas of expertise

Dimension reduction
Multivariate statistics
Asymptotic statistics

Biography

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).

Teaching

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.

Research

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.

Publications

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Latent model extreme value index estimation (2024)

Journal of Multivariate Analysis
Virta Joni, Lietzén Niko, Viitasaari Lauri, Ilmonen Pauliina
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Asymptotic Utility of Spectral Anonymization (2024)

International Conference on Privacy in Statistical Databases, Lecture Notes in Computer Science
Perkonoja, Katariina; Virta, Joni
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Poisson PCA for matrix count data (2023)

Pattern Recognition
Virta Joni, Artemiou Andreas
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))