
SemiPar
 Referenced in 391 articles
[sw07116]
 semiparametric regression is based on penalized regression splines and mixed models. Every model in this...

gss
 Referenced in 148 articles
[sw06099]
 Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... multivariate settings number far less. Smoothing spline ANOVA models are a versatile family of smoothing...

FITPACK
 Referenced in 83 articles
[sw09171]
 package of Fortran subroutines for calculating smoothing splines for various kinds of data and geometries...

SsfPack
 Referenced in 43 articles
[sw09502]
 standard models such as ARMA and cubic spline models in state space form. Basic functions...

CompEcon
 Referenced in 35 articles
[sw04789]
 routines for function approximation using polynomial, splines and other functional families, a set of numerical...

GeoPDEs
 Referenced in 23 articles
[sw06413]
 equations currently studied, mainly based on Bsplines and nonuniform rational Bsplines (NURBS...

COBS
 Referenced in 19 articles
[sw08988]
 attempt to bring the problem of constrained spline smoothing to the foreground and describe ... details of a constrained Bspline smoothing (COBS) algorithm that is being made available ... smooth function into the space of Bsplines provides a monotone smoother that is flexible...

Pcp2Nurb
 Referenced in 17 articles
[sw00689]
 form surfacing with linearly trimmed bicubic Bsplines Unrestricted control polyhedra facilitate modeling freeform ... foursided linearly trimmed bicubic Bsplines and untrimmed biquadratic Bsplines. The routine ... polyhedron in the manner traditional tensorproduct splines follow the outline of their rectilinear control...

na2
 Referenced in 20 articles
[sw11515]
 Fortran subroutines for Bnets of box splines on three and four directional meshes ... compute the Bnets of bivariate box splines on a threeor fourdirectional mesh...

ConfBands
 Referenced in 13 articles
[sw12330]
 Simultaneous confidence bands for penalized spline estimators. In this article, we construct simultaneous confidence bands ... smooth curve using penalized spline estimators. We consider three types of estimation methods ... using the mixedmodel framework with the spline coefficients as random effects ... that the mixedmodel formulation of penalized splines can help obtain, at least approximately, confidence...

ASMOD
 Referenced in 14 articles
[sw02122]
 ASMOD  An algorithm for adaptive spline modelling of observation data Nonlinear system identification by modelling ... artificial neural networks and other learning paradigms. Splines have been used for scattered data interpolation ... higherdimensional data $(>3)$ based on $B$spline interpolation. The models can be trained online...

LASSO
 Referenced in 19 articles
[sw02850]
 models such as wavelets, kernel machines, smoothing splines, multiclass logistic models...

CMARS
 Referenced in 13 articles
[sw08523]
 nonparametric regression with multivariate adaptive regression splines supported by continuous optimization Regression analysis ... modelling relationships between variables. Multivariate adaptive regression splines (MARS) especially is very useful for high...

Spline Toolbox
 Referenced in 9 articles
[sw14970]
 Spline Toolbox. This toolbox contains MATLAB® versions of the essential programs of the Bspline ... package (extended to handle also vectorvalued splines) as described in A Practical Guide ... Splines, (Applied Math. Sciences Vol. 27, Springer Verlag, New York (1978), xxiv + 392p; revised edition...

ABDPACK
 Referenced in 10 articles
[sw01221]
 almost block diagonal structure arising in spline collocation at Gaussian points with monomial spline basis ... when condensation is applied to the full spline collocation linear system. This package may also...

DNURBS
 Referenced in 16 articles
[sw09123]
 design. Presents dynamic nonuniform rational Bsplines (DNURBS), a physicsbased generalization...

CUBGCV
 Referenced in 8 articles
[sw04346]
 calculating minimum crossvalidation cubic smoothing splines The procedure CUBGCV is an implementation ... calculation of a cubic smoothing spline fitted to n noisy data points, with the degree ... matrices associated with the cubic smoothing spline problem. Bayesian point error estimates are also calculated...

NSIPS
 Referenced in 8 articles
[sw04740]
 Tools for robotic trajectory planning using cubic splines and semiinfinite programming We describe ... robot trajectory planning, using cubic splines to generate the trajectory, can be formulated as standard ... codification of these problems a cubic splines dynamic library for AMPL was developed. The discretization...

L2CXFT
 Referenced in 8 articles
[sw00498]
 optimum. The constraints allow $B$splines to be used, which reduce the problem ... fewer variables where the knots of the splines are determined automatically from the data points...

fields
 Referenced in 6 articles
[sw08187]
 function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods ... include cubic, and thin plate splines, Kriging and compact covariances for large data sets ... splines and Kriging methods are supporting by functions that can determine the smoothing parameter (nugget...