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MegaDim

The MegaDim team focuses its research on high-dimensionnal data sets and complex models considered nowdays in a number of fields of Biology. It contributes thus to a better understanding to questions that arised in biology, specifically in the field of molecular biology.
Main research fields:
Statistical methods for high-dimensional data sets
- Adaptive non-parametric testing
- Variable selection in Gaussian regression
- Estimation of direct relations between variables
- Heterogeneous data sets
- Statistical learning
- Non-parametric estimation
Numerical exploration of models
- Metamodelling
- Computer experiment design
- Global sensitivity analysis
Simulation of high-dimensional random variables

 

Main partners of the team : :
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Writing: SH
Creation date: 29 November 2011
Update: 05 April 2012