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Stochastics

Stochastic analysis and modeling are key methodologies for analyzing random interactions in today's financial and information systems. The stochastics research group applies and develops methods in stochastic analysis, optimization, martingale theory, Markov processes, and mathematical statistics. The main research themes are limits of random processes, coupling techniques, and numerical stochastic methods. The main applications are in mathematical finance, risk management, information networks, and statistics.

People

Lecturer
Milla Kibble
Docent
Karl Sigman
PhD student
Igor Morlanes
Lecturer
Ilkka Mellin
PhD student
Helena Aro
PhD student
Ari-Pekka Perkkiö
Docent
Teemu Pennanen
PhD student
Zhe Chen
PhD student
Lauri Viitasaari


Part-time PhD students: Matias Leppisaari, Mika Sirviö.

 

Former members of the group


Lasse Leskelä
Amitava Mukherjee
Ehsan Azmoodeh
Heikki Tikanmäki

 

Projects

 

Publications

Publications of the group can be found on the arXiv preprint server and MathSciNet database. The most up-to-date information is available on the members' personal web pages.

Selected articles

 

Teaching

The group members teach undergraduate and advanced courses in probability and statistics. The undergraduate courses are usually given in Finnish. The offered stochastics courses are eligible as a basis for an SHV degree in insurance mathematics.

 

Collaboration

The group has numerous international and domestic research contacts. The group is affiliated with the following international research networks:

  • AMaMeF - Advanced Mathematical Methods for Finance
  • DYNSTOCH - Statistical Methods for Dynamical Stochastic Models