Stochastic Centre, Gothenburg


The Stochastic Centre in Gothenburg was founded in 1996 to promote research in all areas of probability and statistics. It arranges international workshops, as of now it has held 42 of them, and hosts visitor programs and individual guest researchers, from all around the world. 

Important centre research includes high-dimensional data analysis, medical and biological statistics, discrete probability, population models, extreme values, kinetic theory, abstract optimization, and spatial statistics. Projects are often conducted in close collaboration with scientists from other disciplines and from industry.

Chairman of the board Holger Rootzén
Director Rebecka Jörnsten
Financed by the Knut and Alice Wallenberg Foundation, now through the project “Big data and big systems”, earlier by the Swedish Research Council and the Swedish Foundation for Strategic Research
Contact Peter Jagers, or Rebecka Jörnsten, or Holger Rootzén,
Postal address Stochastic Centre, Mathematical Statistics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden

Material structures seen through microscopes and statistics

Hierarchical Mixed Effects Modeling of Dynamical Systems

Stochastics for big data and big systems – bridging local and global
This project will develop general mathematics and statistics for understanding and modeling complex structures in time, space and networks. We will explore connectivity and phase transition for very large systems, develop theory which shows how normal behavior changes and becomes extreme, provide methods to understand the effects which small and local perturbations have on systems, and solve difficult and important optimization problems. Publications, members, workshops, visitors 2013-February 2016 big-research13-febr16.pdf

 Robert Berman
 Complex geometry

 Johan Jonasson
 Discrete probability

 Johan Wästlund 
 Discrete probability, game theory

 Bernt Wennberg
 Interacting many particle systems

 Olle Häggström
 Large systems

 Johan Tykesson
 Discrete probability

 Holger Rootzén
 Extremes, Gaussian 


 Igor Rychlik
 Winds, waves, fatigue

 Rebecka Jörnsten
 High dimensional data analysis

 Sergei Zuyev
 Stochastic geometry, stability, optimization

 Jonas Wallin
 Spatial statistics

 David Bolin
 Spatial statistics, computation

 Annika Lang
 SPDEs, random fields

 Marcin Lis
 Discrete models in statistical physics

 Jeffrey Steif
 Discrete probability, ergodic theory

 Kaspar Stucki
 Spatial systems

 Jakob Björnberg
 Discrete probability

 Tuomas Rajala
 Spatial point patterns

 Dmitrii Zholud 
 High-dimensional Extremes

 Aila Särkkä
 Spatio-temporal modelling


Published: Thu 16 Aug 2012. Modified: Wed 06 Apr 2016