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
Laboratory's website : INRIA Grenoble Rhone-Alpes et LJK
Permanent staff
To view the full list of team members please visit the team websiteLast name | First name | |
---|---|---|
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: noCognitive functions: yes
Social and cognitive interactions: yes
Parkinson’s Disease (PD): yes
Published on April 13, 2017