Overall Objectives
Research Program
Application Domains
New Results
- Normalizing constants of log-concave densities
- The Tamed Unadjusted Langevin Algorithm
- Development and performance of npde for the evaluation of time-to-event models
- Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
- Diffusion approximations and control variates for MCMC
- Density estimation for random walks in random environment
- Imputation of mixed data with multilevel singular value decomposition
- Logistic Regression with Missing Covariates – Parameter Estimation, Model Selection and Prediction
- A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
- Incomplete graphical model inference via latent tree aggregation
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Results
- Normalizing constants of log-concave densities
- The Tamed Unadjusted Langevin Algorithm
- Development and performance of npde for the evaluation of time-to-event models
- Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
- Diffusion approximations and control variates for MCMC
- Density estimation for random walks in random environment
- Imputation of mixed data with multilevel singular value decomposition
- Logistic Regression with Missing Covariates – Parameter Estimation, Model Selection and Prediction
- A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
- Incomplete graphical model inference via latent tree aggregation
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
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