DATA
Head: Jean-François Coeurjolly Tel: +33 4 57 42 17 17 |
Secretary: Catherine Laiolo Tel: +33 4 57 42 17 53 |
Teams
The department DATA gathers researchers working on probability, statistics, machine learning, optimization, financial mathematics, signal processing and image analysis.
The list of members can be found here.We are organized around 5 teams
ASAR | Applied probability and statistics for problems mainly arising in relaiability [Members] |
DAO | (Data, learning and optimization): optimization and learning for data science [Members] |
IPS | (Inference for Stochastic Processes) [Members] |
STATIFY | Modelling and inference for complex and structured data [Members] |
SVH | (Statistics for Human and Life Sciences) [Members] |
Research topics
Research areas of the different teams have a non-negligible intersection and the majority of members work on theoretical sw well as applied aspects. Here is a non exhaustive list of transversal research topics:
Optimization and statistical learning | Stochastic optimization, distributed optimization, structured data, copositive optimization |
Classification and clustering | Unsupervised classification, latent block models, mixture models, high-dimensional classification, classification and convex geometry |
Dimension reduction and feature selection | Partial least squares, high-dimensioal data storage, high-dimensional robust regression |
Mathematical statistics | Nonparametric estimation, operational statistics, hidden Markov models, multivariate count models for tree structured data, copulas, functional data analysis |
Extremes | Extreme vaue theory, univariate and multivariate risk measures, conditional risk measures |
Bayesian statistics | Nonparametric Bayesian statistics, ABC methods |
Mixed models | Optimal experimental designs, high-dimensional problems, differential equations with random effects |
Goodness-of-fit tests | Regression models, gof tests in reliability |
Spatial statistics | Covariance Matérn models, sampling for integration, spatial and spatio-temporal point processes, stochastic geometry, statistical mechanics and graph theory |
Stochastic processes | Estimation/simulation of fractional models, random fields, asymmetric diffusion models, approximation of probability measures, mean field, Le Cam theory, dependence models |
Interdisciplinary projects
Members of the department are involved in several interdisciplinary projects. Here is a list of areas/projects we have been working on these last years:
Pharmacometry | Pharmacocinetics/pharmacodynamics, ROC curve estimation |
Medicine, biology | Cells growth models, mutation models, genomics, oncology, epidemiology surveillance |
Neurosciences | Neuronal models, FMRI data analysis |
Reliability | Aging processes, maintenance processes, graphical models in reliability, degradation models |
Cognitive sciences | Latent variable models, eye-movement data, mouse tracking data, behavioral biases |
Phonetics | Speech and cognition, geostatistics applied to dialectic |
Environment, ecology | Life cycle analysis, hydroelectricity, environmental toxicology |
Finance | Optimal stopping time for stochastic processes, numerical methods for finance |
News anbd highlights
- Defenses of Phd students from DATA can be found here
- Interview: Vincent Brault for France Bleu Isère for his work on pooling testing to detect covid-19 link
Seminars, working groups, GDR CNRS
Here is a short list of seminar, working groups, GDR, the members animate or to which we participate:
- Seminar of department DATA link
- Working group FIMA : Random Model for Reliability and systems Maintenance FIMA
- OSSP seminar: on spatial and spatio-temporal point processes OSSP
- Seminar BIG (Bayesian in Grenoble)
- GDR Mascott-Num, GDR Statistique & Santé, GDR ISIS, GDR GeoSto