Adaptive forecasting on functional data

Approximating the predic- tor and the response in finite dimensional functional spaces, we show the equivalence of the PLS regression with functional data and the finite

- Penalized functional linear model (Harezlak et.al (2007), Eilers and Marx (1996)).. Figure 1: Predicted and observed values for

In order to predict the local intensity of the point process, λ( x | U ) , we propose to define the first- and second-order characteristics of a random field, defined as the

According to qualitative statistical analysis, the AF group demon- strated a small to large greater peak performance supercompensation than the F-OR group (2.6% T 1.1%) and the

In the resulting theoretical account of stochasticity, still a “regularity” in the sense of physics can be found (by means of the average over an hypothetical ensemble) while an

Abstract We obtain the large deviation functional of a density profile for the asymmetric exclusion process of L sites with open boundary conditions when the asymmetry scales like L

Applications are given for the biased density model, the nonparametric regression model and a GARCH-type model under some mixing dependence conditions (α-mixing or β- mixing)... , Z

The effect of these on the reliability of RepeatMasker and Repbase annotations varies by genome, but in a recent article we showed that in the model chicken (Gallus gallus)