Department of Mathematics and Systems Analysis

Stochastics and statistics

We develop and apply methods in probability theory, mathematical statistics, and algebra related to applications in information networks, data science, and natural sciences. The main research themes are random graph dynamics, asymptotic statistics, and mathematical physics.

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Events

Professors

	Pauliina Ilmonen Multivariate extreme values, functional data analysis, cancer epidemiology
	Kalle Kytölä Mathematical physics, probability, algebra
	Lasse Leskelä Random graphs, network statistics, stochastic processes
	Kaie Kubjas Algebraic statistics, applied algebraic geometry
	Eveliina Peltola Random geometry, mathematical physics, representation theory

Lecturers

	Jukka Kohonen Computational combinatorics, computational number theory, algebraic methods in statistics
	Tuomas Sahlsten Quantum chaos, harmonic analysis and dynamical systems

Postdoctoral researchers

Mikhail Shubin

Doctoral students

	David Adame Carrillo
	Sami Helander
	Hoa Ngo
	Kalle Alaluusua

Affiliated docents: Kari Eloranta, Teemu Pennanen, Karl Sigman, Joni Virta

Affiliated doctoral students: Matias Leppisaari, Tarja Sirén, Mika Sirviö

Projects and networks

NordicMathCovid, 2020–2022
COSTNET — European Cooperation for Statistics of Network Data Science, 2016–2020
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Selected publications

M Bloznelis, L Leskelä. Clustering and percolation on superpositions of Bernoulli random graphs. Random Structures & Algorithms 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
S Nagy, S Helander, G Van Bever, L Viitasaari, P Ilmonen. Flexible integrated functional depths, Bernoulli 2021
C Gilmore, E Le Masson, T Sahlsten, J Thomas. Short geodesic loops and L^p norms of eigenfunctions on large genus random surfaces. Geometric and Functional Analysis 2021
K Kytölä, E Peltola. Pure partition functions of multiple SLEs. Communications in Mathematical Physics 2016

Teaching

We teach courses in probability and statistics at all levels. Many of the offered MSc courses are eligible as a basis for an SHV degree in insurance mathematics. PhD education in stochastics and statistics is coordinated by the Finnish Doctoral Education Network in Stochastics and Statistics (FDNSS).

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Alumni

Esko Valkeila (Professor 2004–2012)
Milla Kibble (Lecturer 2010–2014)
Steven Flores (Postdoc 2016–2017)
Giancarlo Pastor (Postdoc 2016–2017)
Heikki Seppälä (Postdoc 2015–2016)
Lauri Viitasaari (DSc 2014, Postdoc 2015–2017)
Christian Webb (Postdoc 2014–2020)
Helena Aro (DSc 2013, Postdoc 2013–2014)
Ehsan Azmoodeh (DSc 2010, Postdoc 2010–2012)
Amitava Mukherjee (Postdoc 2010–2011)
Zhe Chen (DSc 2016)
Armando Gutiérrez (DSc 2019)
Matias Heikkilä (DSc 2019)
Joona Karjalainen (DSc 2021)
Alex Karrila (DSc 2019)
Niko Lietzén (DSc 2020)
Ari-Pekka Perkkiö (DSc 2013)
Paavo Raittinen (DSc 2022)
Markov Voutilainen (DSc 2020)
Heikki Tikanmäki (DSc 2012)
Ilkka Mellin (University teacher emeritus)
Matti Kiiski (Research assistant)

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Research groups