Software
aws - Adaptive weights smoothing
aws is a contributed package within the R-Project for Statistical Computing that contains a reference implementation of the adaptive weights smoothing algorithms for local constant likelihood and local polynomial regression models. Binaries for several operating systems are available from the Comprehensive R Archive Network.
WIAS R-packages for imaging / neuroscience
At WIAS a number of R-packages for image processing are developed focussing on structural adaptive smoothing methods. Applications range from digital color images via functional magnetic resonance imaging to diffusion weighted and quantitative magnetic resonance imaging.
Research Groups
- Partial Differential Equations
- Laser Dynamics
- Numerical Mathematics and Scientific Computing
- Nonlinear Optimization and Inverse Problems
- Interacting Random Systems
- Stochastic Algorithms and Nonparametric Statistics
- Thermodynamic Modeling and Analysis of Phase Transitions
- Nonsmooth Variational Problems and Operator Equations