Project-Team:CQFD

Project-Team Cqfd

Team, Visitors, External Collaborators

Overall Objectives

Presentation

Research Program

Application Domains

Dependability and safety

New Software and Platforms

New Results

A new characterization of the jump rate for piecewise-deterministic Markov processes with discrete transitions
Estimation of the average number of continuous crossings for non-stationary non-diffusion processes
ClustGeo: an R package for hierarchical clustering with spatial constraints
Change-point detection for Piecewise Deterministic Markov Processes
A sharp first order analysis of Feynman–Kac particle models, Part I: Propagation of chaos
A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers
Exponential mixing properties for time inhomogeneous diffusion processes with killing
Investigation of asymmetry in E. coli growth rate
Design of estimators for restoration of images degraded by haze using genetic programming
Controlling IL-7 injections in HIV-infected patients
Stochastic Control of Observer Trajectories in Passive Tracking with Acoustic Signal Propagation Optimization
Computable approximations for average Markov decision processes in continuous time
Zero-Sum Discounted Reward Criterion Games for Piecewise Deterministic Markov Processes
Approximation of discounted minimax Markov control problems and zero-sum Markov games using Hausdorff and Wasserstein distances
On the expected total cost with unbounded returns for Markov decision processes
Applying Genetic Improvement to a Genetic Programming library in C++

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Inria | Raweb 2018 | Presentation of the Project-Team CQFD


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2018 Project-Team Activity Report

CQFD

Quality control and dynamic reliability

Research centre: Bordeaux - Sud-Ouest

In partnership with: CNRS, Université de Bordeaux
In collaboration with: Institut de Mathématiques de Bordeaux (IMB)

Field: Applied Mathematics, Computation and Simulation
Theme: Stochastic approaches

Keywords:

Computer Science and Digital Science:

A1.2.4. - QoS, performance evaluation
A1.3. - Distributed Systems
A1.3.5. - Cloud
A3.3. - Data and knowledge analysis
A3.4.1. - Supervised learning
A3.4.2. - Unsupervised learning
A3.4.5. - Bayesian methods
A3.4.6. - Neural networks
A3.4.7. - Kernel methods
A5.9.2. - Estimation, modeling
A5.9.6. - Optimization tools
A6.1.2. - Stochastic Modeling
A6.1.3. - Discrete Modeling (multi-agent, people centered)
A6.2.2. - Numerical probability
A6.2.3. - Probabilistic methods
A6.2.4. - Statistical methods
A6.2.6. - Optimization
A6.4.2. - Stochastic control
A8.11. - Game Theory
A9.2. - Machine learning
A9.6. - Decision support

Other Research Topics and Application Domains:

B2.2.4. - Infectious diseases, Virology
B2.6.1. - Brain imaging
B5.9. - Industrial maintenance
B6.2. - Network technologies
B6.3.3. - Network Management
B6.5. - Information systems
B9.2.3. - Video games
B9.5.2. - Mathematics