Shrinkage regression and application to remote sensing
by David Lazaridis
Abstract: A variety of ideas will be briefly covered; shrinkage regression (and mixed effects models), prediction error estimation, model selection, change detection in timeseries and applications for predicting forest health using remotely sensed satellite data.
For More Information: contact: David Lazaridis. email firstname.lastname@example.org