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Section: New Software and Platforms
denoiseR
A R package that approximates a low-rank matrix from noisy data (Gaussian and Poisson Noise). Singular values shrinkage methods are implemented.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Identifiability in mixed effects models
- Enhanced Method for Diagnosing Pharmacometric Models
- A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection
- Maximum likelihood estimation of a low-order building model
- LP-convergence of a Girsanov theorem based particle filter
- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography