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M Chavent and J. Saracco are elected members of CNU 26.
B. de Saporta was an elected member of CNU 26 until sept. 2014.
J. Saracco is vice president of the french statistical society (SFdS).
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Highlights of the Year
- Approximate Kalman–Bucy filter for continuous-time semi-Markov jump linear systems
- Modeling and optimization of a launcher integration process
- Numerical approximation for optimal stopping of MDP under partial observation
- Classification of EEG signals by evolutionary algorithm
- Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms
- Variable selection to construct indicators of quality of life for data structured in groups
- Efficiency of simulation in monotone hyper-stable queueing networks
- Control of parallel non-observable queues: asymptotic equivalence and optimality of periodic policies
- The economics of the cloud: price competition and congestion
- Generalized Nash Equilibria for Platform-as-a-Service Clouds
- Stochastic approximations of constrained discounted Markov decision processes
- Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes
- Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities
- Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system
- Optimal Trajectories for Underwater Vehicles by Quantization and Stochastic control
- Multi-Objective Design and Maintenance Optimization of the Heated Hold-Up Tank Modeled by Piecewise Deterministic Markov Processes
- Conditional quantile estimation through optimal quantization
- Conditional quantile estimator based on optimal quantization: from theory to practice
- QuantifQuantile : an R package for performing quantile regression trough optimal quantization
- Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels
- Comparaison of kernel density estimators with assumption on number of modes : application on environmental monitoring data
- A new sliced inverse regression method for multivariate response
- An introduction to dimension reduction in nonparametric kernel regression
- Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
- On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
- Evolving Genetic Programming Classifiers with Novelty Search
- Detecting mental states of alertness with genetic algorithm variable selection
- A comparison of fitness-case sampling methods for Symbolic Regression
- Geometric Semantic Genetic Programming with Local Search
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Highlights of the Year
- Approximate Kalman–Bucy filter for continuous-time semi-Markov jump linear systems
- Modeling and optimization of a launcher integration process
- Numerical approximation for optimal stopping of MDP under partial observation
- Classification of EEG signals by evolutionary algorithm
- Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms
- Variable selection to construct indicators of quality of life for data structured in groups
- Efficiency of simulation in monotone hyper-stable queueing networks
- Control of parallel non-observable queues: asymptotic equivalence and optimality of periodic policies
- The economics of the cloud: price competition and congestion
- Generalized Nash Equilibria for Platform-as-a-Service Clouds
- Stochastic approximations of constrained discounted Markov decision processes
- Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes
- Approximation of average cost Markov decision processes using empirical distributions and concentration inequalities
- Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system
- Optimal Trajectories for Underwater Vehicles by Quantization and Stochastic control
- Multi-Objective Design and Maintenance Optimization of the Heated Hold-Up Tank Modeled by Piecewise Deterministic Markov Processes
- Conditional quantile estimation through optimal quantization
- Conditional quantile estimator based on optimal quantization: from theory to practice
- QuantifQuantile : an R package for performing quantile regression trough optimal quantization
- Transcriptome profile analysis reveals specific signatures of pollutants in Atlantic eels
- Comparaison of kernel density estimators with assumption on number of modes : application on environmental monitoring data
- A new sliced inverse regression method for multivariate response
- An introduction to dimension reduction in nonparametric kernel regression
- Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
- On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
- Evolving Genetic Programming Classifiers with Novelty Search
- Detecting mental states of alertness with genetic algorithm variable selection
- A comparison of fitness-case sampling methods for Symbolic Regression
- Geometric Semantic Genetic Programming with Local Search
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography