• SemiPar

  • Referenced in 511 articles [sw07116]
  • semiparametric regression is based on penalized regression splines and mixed models. Every model in this...
  • gss

  • Referenced in 194 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 101 articles [sw09171]
  • package of Fortran subroutines for calculating smoothing splines for various kinds of data and geometries...
  • SsfPack

  • Referenced in 47 articles [sw09502]
  • standard models such as ARMA and cubic spline models in state space form. Basic functions...
  • GeoPDEs

  • Referenced in 30 articles [sw06413]
  • equations currently studied, mainly based on B-splines and non-uniform rational B-splines (NURBS...
  • CompEcon

  • Referenced in 41 articles [sw04789]
  • routines for function approximation using polynomial, splines and other functional families, a set of numerical...
  • ConfBands

  • Referenced in 22 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 mixed-model framework with the spline coefficients as random effects ... that the mixed-model formulation of penalized splines can help obtain, at least approximately, confidence...
  • COBS

  • Referenced in 21 articles [sw08988]
  • attempt to bring the problem of constrained spline smoothing to the foreground and describe ... details of a constrained B-spline smoothing (COBS) algorithm that is being made available ... smooth function into the space of B-splines provides a monotone smoother that is flexible...
  • Spline Toolbox

  • Referenced in 17 articles [sw14970]
  • Spline Toolbox. This toolbox contains MATLAB® versions of the essential programs of the B-spline ... package (extended to handle also vector-valued splines) as described in A Practical Guide ... Splines, (Applied Math. Sciences Vol. 27, Springer Verlag, New York (1978), xxiv + 392p; revised edition...
  • Pcp2Nurb

  • Referenced in 17 articles [sw00689]
  • form surfacing with linearly trimmed bicubic B-splines Unrestricted control polyhedra facilitate modeling free-form ... four-sided linearly trimmed bicubic B-splines and untrimmed biquadratic B-splines. The routine ... polyhedron in the manner traditional tensor-product splines follow the outline of their rectilinear control...
  • na2

  • Referenced in 20 articles [sw11515]
  • Fortran subroutines for B-nets of box splines on three- and four- directional meshes ... compute the B-nets of bivariate box splines on a three-or four-directional mesh...
  • TSPACK

  • Referenced in 17 articles [sw00982]
  • Algorithm 893: TSPACK: tension spline package for curve design and data fitting. TSPACK ... curve-fitting package based on exponential tension splines with automatic selection of tension factors ... where possible, and extensions, including a B-spline representation, designed to facilitate curve design...
  • fields

  • Referenced in 15 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...
  • LASSO

  • Referenced in 23 articles [sw02850]
  • models such as wavelets, kernel machines, smoothing splines, multiclass logistic models...
  • IETI

  • Referenced in 23 articles [sw19412]
  • appropriate ways. NURBS- (Non-Uniform Rational B-spline) based isogeometric analysis (IGA) applied to complex...
  • 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 ... higher-dimensional data $(>3)$ based on $B$-spline interpolation. The models can be trained online...
  • ABDPACK

  • Referenced in 12 articles [sw01221]
  • almost block diagonal linear systems arising in spline collocation at Gaussian points with monomial basis ... 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...
  • CMARS

  • Referenced in 14 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...
  • D-NURBS

  • Referenced in 16 articles [sw09123]
  • design. Presents dynamic non-uniform rational B-splines (D-NURBS), a physics-based generalization...
  • NSIPS

  • Referenced in 9 articles [sw04740]
  • Tools for robotic trajectory planning using cubic splines and semi-infinite 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...