Mikko J. Sillanpää

PhD
Professor of Statistics, Research Unit Leader
Bayesian statistical methods

Mathematical Sciences
Faculty of Science

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Mikko Sillanpää

My research group considers developing new computationally efficient and practical statistical methods and their applications in biology, medicine and other fields. Bayesian analysis and data analytic methods using hierarchical models and Markov Chain Monte Carlo sampling methods are preferred in the group. In many of the problems we are working with, important parts of the solution are formed by the efficient handling of the big-data, use of data analytic tools having close connections to the machine learning theory, and algorithmic view of computational methods. Specifically, the present research interest address statistical variable selection methods having sparsity-inducing mechanism and different inferential methods for covariance/precision matrix and network structures.

http://cc.oulu.fi/~misillan/

Research interests

Researcher information

Researcher profiles

118

peer reviewed publications in international journals

696

most cited publications

4361

publications citations in total

27.00

publication h-index (ISI Web of Science)

Contact information

E-mail

Mikko.Sillanpaa@oulu.fi

Phone number

+358406734474

Visiting address

Research Unit of Mathematical Sciences
P.O.Box 3000
FI-90014 Oulu

Postal address

Research Unit of Mathematical Sciences
P.O.Box 3000
FI-90014 Oulu