Mikko J. Sillanpää
PhD
Professor of Statistics, Research Unit Leader
Bayesian statistical methods

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
publications
696
citation count of most cited publication
4361
citations
27.00
H-index (ISI Web of Science)

Contact information
Mikko.Sillanpaa@oulu.fi
Phone number
+358406734474
Visiting address
Research Unit of Mathematical Sciences
P.O.Box 3000
FI-90014 Oulu
P.O.Box 3000
FI-90014 Oulu
Postal address
Research Unit of Mathematical Sciences
P.O.Box 3000
FI-90014 Oulu
P.O.Box 3000
FI-90014 Oulu