Mathematical Statistics and Data Science
The research group in Mathematical Statistics and Data Science studies advanced methods and models for analysing and representing data. We employ probability theory and stochastic processes to rigorously model uncertainty and randomness, and abstract and linear algebra to understand the structure of statistical models and the relationships between their parameters.
News and events
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Members
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Pauliina Ilmonen Professor Multivariate extreme values, functional data analysis, cancer epidemiology |
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Lasse Leskelä Professor Mathematical statistics, probability theory, network analysis |
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Kaie Kubjas Associate Professor Algebraic statistics |
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Vanni Noferini Associate Professor Network analysis, random matrix theory |
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Jukka Kohonen Senior University Lecturer Statistics, combinatorics |
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Jonas Tölle Senior University Lecturer Stochastic processes, probability theory |
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Pekka Pere University Lecturer Statistics |
Selected publications
- L Leskelä, M Zhukov. Sharp constants relating the sub-Gaussian norm and the sub-Gaussian parameter. Electronic Communications in Probability 2026.
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- F Arrigo, DJ Higham, V Noferini, R Wood. Weighted enumeration of nonbacktracking walks on weighted graphs. SIAM Journal on Matrix Analysis and Applications 2024.
- M Hinz, JM Tölle and L Viitasaari. Variability of paths and differential equations with BV-coefficients. Annales de l’Institut Henri Poincaré - Probabilités et Statistiques 2023.
- A Belyaeva, K Kubjas, LJ Sun, C Uhler. Identifying 3D genome organization in diploid organisms via Euclidean distance geometry. SIAM Journal on Mathematics of Data Science 2022.
- J Alho, E Arjas, J Karvanen, L Leskelä, E Läärä, P Pere. Tilastotieteen sanasto. Suomen Tilastoseura 2023.
A complete publication list for all team members is available in the
Aalto research database.
Teaching
We teach courses in probability and statistics at all levels. Some of the offered courses are eligible as a basis for an
SHV degree in insurance mathematics. Doctoral education in probability and statistics is coordinated by the
Finnish Doctoral Education Network in Stochastics and Statistics (FDNSS).
Seminars
Upcoming seminars
Projects and networks
- SHiNe - Statistical Theory for High-Dimensional Structured Network Models 2026–2030
- FiRST – Finnish Centre of Excellence in Randomness and Structures, 2022–2029
- More...
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