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CHAUVET Guillaume |
Statistics |
- Sampling
- Variance estimation
- Missing Data
- Resampling Techniques
- Asymptotic Results
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COQUET François |
Statistics |
- Statistic of Stochastic Processes
- Dirichlet Processes
- Backward Stochastic Differential Equations and Nonlinear Martingales
- Convergence of sequences of filtrations
- Survey statistics
- Epidemiology
- Spatial point processes
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DE LOYNES Basile |
Statistics |
- Probability theory
- Stochastic processes
- Long memory processes
- Graph signal processing
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DU ROY DE CHAUMARAY Marie |
Statistics |
- Statistical inference for stochastic processes
- Large deviations
- Cox-Ingersoll-Ross and Heston processes
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EL KOLEI Salima |
Statistics |
- Keywords Hidden Markov Chains
- Parametric model
- Particle filter
- Deconvolution.
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GELEIN Brigitte |
Statistics |
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HRISTACHE Marian |
Statistics |
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LARBI Khaled |
Statistics |
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MARBAC LOURDELLE Matthieu |
Statistics |
- Model-based clustering
- Computational statistics
- Biostatistics
- Empirical likelihood
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NAVARRO Fabien |
Statistics |
- Nonparametric statistics
- High-dimensional statistics
- Wavelet-based methods
- Sparsity
- Inverse problems
- Machine learning
- Signal and image processing
- Graph signal processing
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PATILEA Valentin |
Statistics |
- Semi and nonparametric statistics
- Survival analysis
- Time Series
- Econometrics
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SAUMARD Adrien |
Statistics |
- Machine learning
- High dimensional statistics
- Non-parametric statistics
- Functional inequalities and concentration
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STUPFLER Gilles |
Statistics |
- Extreme value analysis
- Semi- and non-parametric statistics, especially regression methods
- M-estimation
- Missing data frameworks
- Hidden Markov models
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TRUQUET Lionel |
Statistics |
- Statistics for dependent data
- Time series analysis
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VIMOND Myriam |
Statistics |
- Semiparametric regression model
- Shape Invariant Model
- Statistics for Lie Groups
- Data Depth
- Diffusion Process
- Image/Signal Processing
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