... (14) Opsomer, J.D. Nonparametric **regression** in the presence of correlated errors. In Mod- elling Longitudinal and Spatially Correlated Data: Methods, Applications and Future Di- rections; Gregoire, T.G., ...

33

... The main objective of this work is the nonparametric estimation of the **regression** function with correlated errors when observations are missing in the response variable. Two nonparametric estimators of the ...

48

... We now illustrate the behavior of weighted **local** **polynomial** **regression** with the data of accumulative (last twelve months) retail price index of Spain. The studied series is of 224 months, from ...

28

... Multivariate **Local** **Polynomial** **Regression** (MLPR) methods, are data driven and do not require any specific assumption about the nature of price ...

140

... the **regression** function using the LPR estimator or the EGLPR estimator with the global smoothing parameters proposed ...the **regression** function odd order fits are preferable; while higher order ...

25

... vector **regression** method by extend- ing the single-output SVR to multiple outputs while maintaining the advantages of a sparse and compact solution using a cost ...

27

... nonlinear **regression** models based on **local** **polynomial** estimation is proposed in this ...mixture **regression** model for real data coming from a thermal analysis ...

19

... Finally we claim that under the assumptions of statement (c) when G is an exponential factor we need that J(F, G)(p) 6= 0 in order that the conclusion of statement (a) holds. We shall prove the claim. Consider the ...

8

... Logistic **regression** analysis is used to examine relationships between variables when the dependent variable is nominal, even though independent variables are nominal, ordinal, interval, or some mixture ...

26

... We present a model of Bayesian network for continuous variables, where densities and con- ditional densities are estimated with B-spline MoPs. We use a novel approach to directly obtain conditional densities estimation ...

10

... The 4 closest grid points to the observation point were searched, and a multivariable **regression** was performed. Not all the points were land points. For the case of the wind, measured at 10 meters, there is also a ...

15

... the **regression** error ...estimated **regression** line). First attempts to fit k = 2 **regression** lines can be found in [18], that applied this type of procedure in economics, in [21] where these type of ...

34

... In the context of the evolutionary approaches to credit scoring, one has a number of scorecards that mutate and blend together according to their fitness function at classification (Fogerty and Ireson 1993). One of the ...

41

... e **polynomial** of a linear code. This **polynomial** is also related to the weights of the codewords but contains more information than the weight ...a **polynomial** in several variables and gives not only ...

9

... Of course, the smooth bootstrap and the parametric bootstrap described above can be adapted to this **regression** context as well. Also, there exist vari- ants that take into account heteroscedasticity (wild ...

196

... fixed **regression** model with random observation error that follows an AR(1) correlation ...the **regression** function and its derivatives using a modified version of estimators obtained by weighted **local** ...

27

... Variables in logs. Low frequency movements calculated using a robust version of a **local** **regression** using weighted linear least squares and a 2nd degree **polynomial** model that assigns lower weight to ...

8

... Section 2 supplies some preliminaries where we define some concepts we shall need, such as first integral, curve with only one place at infinity, WAI **polynomial** first integral or projective vector field. Section 6 ...

28

... The **local** asymptotic stability of stochastically perturbed equations of the form (2), with bounded perturbation, has been considered ...recently, **local** stability of general nonlinear equations under ...

8