Results 31 to 40 of about 70,459 (296)

Multilevel refinable triangular PSP-splines (Tri-PSPS) [PDF]

, 2015
A multi-level spline technique known as partial shape preserving splines (PSPS) (Li and Tian, 2011) has recently been developed for the design of piecewise polynomial freeform geometric surfaces, where the basis functions of the PSPS can be directly ...
Li, Qingde, Tian, Jie
core   +1 more source

A Semi-parametric Technique for the Quantitative Analysis of Dynamic Contrast-enhanced MR Images Based on Bayesian P-splines [PDF]

, 2008
Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is an important tool for detecting subtle kinetic changes in cancerous tissue. Quantitative analysis of DCE-MRI typically involves the convolution of an arterial input function (AIF) with a ...
Padhani, Anwar R., Schmid, Volker J., Whitcher, Brandon, Yang, Guang-Zhong   +3 more
core   +1 more source

Use of nonparametric regression methods for developing a local stem form model

Journal of Forest Science, 2014
A local mean stem curve of spruce was represented using regression splines. Abilities of smoothing spline and P-spline to model the mean stem curve were evaluated using data of 85 carefully measured stems of Norway spruce. For both techniques the optimal
K. Kuželka, R. Marušák
doaj   +1 more source

A-Spline Regression for Fitting a Nonparametric Regression Function with Censored Data

Stats, 2020
This paper aims to solve the problem of fitting a nonparametric regression function with right-censored data. In general, issues of censorship in the response variable are solved by synthetic data transformation based on the Kaplan–Meier estimator in the
Ersin Yılmaz, Syed Ejaz Ahmed, Dursun Aydın   +2 more
doaj   +1 more source

Estimating conditional heteroscedastic nonlinear autoregressive model by using smoothing spline and penalized spline methods [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2019
We propose smoothing spline (SS) and penalized spline (PS) methods in a class of nonparametric regression methods for estimating the unknown functions in a conditional heteroscedastic nonlinear autoregressive (CHNLAR) model.
Autcha Araveeporn
doaj   +1 more source

Equivalent Kernels for Smoothing Splines [PDF]

Journal of Integral Equations and Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eggermont, P.P.B., LaRiccia, V.N.
openaire   +2 more sources

Development of Ramsey RESET to Identify the Polynomials Order of Smoothing Spline with Simulation Study

JTAM (Jurnal Teori dan Aplikasi Matematika)
Path  analysis is used to determine the effect of exogenous variables on endogenous variables. One of the assumptions in path analysis is the linearity assumption. The linearity assumption can be tested using Ramsey RESET.
Muhammad Rafi Hasan Nurdin, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, Muhammad Ohid Ullah   +3 more
doaj   +1 more source

Functional principal components analysis via penalized rank one approximation [PDF]

, 2008
Two existing approaches to functional principal components analysis (FPCA) are due to Rice and Silverman (1991) and Silverman (1996), both based on maximizing variance but introducing penalization in different ways.
Buja, Andreas, Huang, Jianhua Z., Shen, Haipeng   +2 more
core   +5 more sources

Precise Tensor Product Smoothing via Spectral Splines

Stats
Tensor product smoothers are frequently used to include interaction effects in multiple nonparametric regression models. Current implementations of tensor product smoothers either require using approximate penalties, such as those typically used in ...
Nathaniel E. Helwig
doaj   +1 more source

Smoothing Spline ANOVA Models: R Package gss

Journal of Statistical Software, 2014
This document provides a brief introduction to the R package gss for nonparametric statistical modeling in a variety of problem settings including regression, density estimation, and hazard estimation.
Chong Gu
doaj   +1 more source