• Stochastic geometry and statistical image analysis
• Lévy theory and applied probability
• Ambit Stochastics
• Computational stochastics and bioinformatics

Stochastic geometry and statistical image analysis

Principal investigators

Eva B. Vedel Jensen, Ute Hahn and Markus Kiderlen

Project members

Jérémy Auneau, Linda V. Hansen, Elisabeth Pedersen

Focus Points

Stochastic geometry, digital stereology, Lévy driven Cox processes, modelling of new image modalitites in neuroscience

Lévy theory and applied probability

Søren Asmussen, Steen Thorbjørnsen

Lars N. Andersen, Ole E. Barndorf-Nielsen,  Anders Rønn-Nielsen

General Upsilon transformations and subordination of free Lévy processes, Lévy processes with two reflecting barriers, statistical inference for Lévy based models, heavy tails computer reliability.

Stochastic processes and spatio-temporal modelling

Ole E. Barndorff-Nielsen, Jürgen Schmiegel

Søren Asmussen, Andreas Basse, Eva B. Vedel Jensen, Steen Thorbjørnsen

Ambit processes, multipower variation, turbulence

Computational stochastics and bioinformatics

Jens Ledet Jensen, Asger Hobolth

• Jotun Hein, University of Oxford,
  Department of Statistics, UK
• Eric A. Stone, North Carolina State University,
  Bioinformatics Research Center, USA
• Jeffrey L. Thorne, North Carolina State University,
  Bioinformatics Research Center, USA

Analysis of high-dimensional data, inference in evolutionary models