Mistis

Forbes Florence
Statistical models and inference, image and signal analysis

Présentation

The team develops statistical methods for complex systems, models and data with applications in image and spatial data and biology and medicine. Our approach is based on the statement that complexity can be handled by working up from local assumptions in a coherent way, defining a structured model. The methods we consider involve mixture models, hidden structure models, and semi and non-parametric methods.

Team's website : http://mistis.inrialpes.fr/

Laboratory's website : INRIA Grenoble Rhone-Alpes et LJK

Permanent staff

To view the full list of team members please visit the team website
Last name First name Mail
Forbes Florence florence.forbes@inria.fr
Durand Jean-Baptiste jean-baptiste.durand@inria.fr
Arbel Julyan julyan.arbel@inria.fr

Corresponding Research Areas in NeuroCoG

Neural cells and neural networks: no
Cognitive functions: yes
Social and cognitive interactions: yes
Parkinson’s Disease (PD): yes

Published on April 13, 2017