Abstract
We consider a high dimensional dynamic regression model. This means that we have a high number of covariates as well as a large number of sampled points on time, with a corresponding substantial dynamic effect. Some basic screening techniques are studied, and the efficiency of pre-screening dimensional reduction is discussed as well. Both paradigms of generalized correlation ands dimensio…