Equipe

• Statistics for dependent data
• Time series analysis
• Markov chains

• Macroeconomics
• International Economics
• Labor Economics

• Sampling
• Variance estimation
• Missing Data
• Resampling Techniques
• Asymptotic Results

• Machine Learning
• Sensitivity analysis & variable importance
• Kernel methods
• Design of experiments

• Macroeconomics
• Labor economics
• Financial economics
• History of economic thaught

• Probability theory
• Stochastic processes
• Long memory processes
• Graph signal processing

• Hidden Markov Chains
• Parametric model
• Particle filter
• Deconvolution.

• Machine learning
• Time series
• Python programming
• Open source software

• Nonresponse
• Sampling theory
• Machine Learning
• Data Science & Sport

• Inferential statistics
• Selective inference
• Statistical methods for Biology
• Structural Biology
• Population Genetics

• Applied econometrics
• Structural econometrics
• Labor economics
• Family economics

• Machine learning
• Image processing
• Python programming
• Numerical optimization

• optimization
• machine learning
• operation research
• signal processing

• Applied econometrics
• Evaluation of public policies
• Official statistics measurement

• Biostatistics
• Clustering and classsification
• Empirical likelihood
• Mixture models
  
  

Editorial Activity
Computational Statistics & Data Analysis (Associate Editor, 04/2021 - )
Econometric and Statistics (Associate Editor, 11/2023 - )

• Functional data
• Semi and nonparametric statistics
• Survival analysis
• Time Series
• Econometrics

Editorial Activity

Bernoulli Journal (AE, 01/2022 -)

Statistical Methods and Applications (03/2025 -)

NEW: Postdoctoral position at CREST Ensai

• Machine Learning for Causal Inference
• Inequalities
• Labor Economics
• Experimental Economics

• Statistical Learning
• Monte Carlo methods
• Nonparametric statistics

• Machine learning
• High dimensional statistics
• Non-parametric statistics
• Functional inequalities and concentration

• Statistical inference
• High-dimensional statistics
• Theory of Machine Learning

• Empirical industrial organization
• Microeconomics
• Econometrics
• Marketing

• Semiparametric regression model
• Shape Invariant Model
• Statistics for Lie Groups
• Data Depth
• Diffusion Process
• Image/Signal Processing

• Weakly supervised learning
• Transfer/multitask learning
• Treatment effect estimation

• Hidden Markov Models
• Mixture Model
• Soccer applications

• Survival analysis
• Non-parametric statistics

• Concentration Inequalities
• Non-asymptotic Statistics
• Local Averaging Methods
• Nonparametric Statistics

• Model selection
• Mixture Model
• Biostatistics

• Functional Data Analysis
• Nonparametric Methods
• Non-Asymptotic Theory

CV  PDF

• Stochastic Differential Equations
• Biological application for modelling the movement of an insect (trichogramma)

• Functional Data Analysis
• Statistical Machine Learning

• Sampling 
• Survey methodology
• Statistical learning