Results 131 to 140 of about 4,500 (154)

Semiparametric regression with shape-constrained penalized splines

Computational Statistics & Data Analysis, 2011
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Martin L. Hazelton, Berwin A. Turlach
openaire   +2 more sources

Data-driven selection of the spline dimension in penalized spline regression

Biometrika, 2011
A number of criteria exist to select the penalty in penalized spline regression, but the selection of the number of spline basis functions has received much less attention in the literature. We propose a likelihood-based criterion to select the number of basis functions in penalized spline regression.
Göran Kauermann, Jean D. Opsomer
openaire   +2 more sources

Spatially Adaptive Bayesian Penalized Regression Splines (P-splines)

Journal of Computational and Graphical Statistics, 2005
In this article we study penalized regression splines (P-splines), which are low-order basis splines with a penalty to avoid undersmoothing. Such P-splines are typically not spatially adaptive, and hence can have trouble when functions are varying rapidly.
Veerabhadran Baladandayuthapani, Bani K Mallick, Raymond J Carroll   +2 more
openaire   +1 more source

Hazard Regression for Interval‐Censored Data with Penalized Spline

Biometrics, 2003
Summary. This article introduces a new approach for estimating the hazard function for possibly interval‐ and right‐censored survival data. We weakly parameterize the log‐hazard function with a piecewise‐linear spline and provide a smoothed estimate of the hazard function by maximizing the penalized likelihood through a mixed model–based approach.
Cai, Tianxi, Betensky, Rebecca A.
openaire   +3 more sources

Penalized Splines and Reproducing Kernel Methods

The American Statistician, 2006
Two data analytic research areas—penalized splines and reproducing kernel methods—have become very vibrant since the mid-1990s. This article shows how the former can be embedded in the latter via theory for reproducing kernel Hilbert spaces. This connection facilitates cross-fertilization between the two bodies of research.
Pearce, N.D., Wand, M.P.
openaire   +2 more sources

Penalized Splines

2018
Jaroslaw Harezlak, David Ruppert, Matt P. Wand   +2 more
openaire   +1 more source

A Bayesian Approach for Penalized Splines with Hierarchical Penalty

Open Journal of Statistics, 2022
Samuel Mwalili
exaly  

Selecting the smoothing parameter and knots for an extension of penalized splines to censored data

Journal of Statistical Computation and Simulation, 2021
Jesus Orbe Lizundia
exaly  

Estimating functions and derivatives via adaptive penalized splines

Communications in Statistics Part B: Simulation and Computation, 2021
Yongmiao Hong, Lianqiang Yang
exaly  

Asymptotic properties of penalized splines for functional data

Bernoulli, 2020
Luo Xiao
exaly