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Direct Determination of Smoothing Parameter for Penalized Spline Regression
Journal of Probability and Statistics, 2014 Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
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The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling
Journal of Scientific Research and Reports, 2015 Aims: The aim of this study is modeled the ratios of export to imports data in Turkey by using nonparametric regression methods. Study Design: This was Spline, Bayesian Spline and Penalized Spline Regression modeling study. Place and Duration of Study: Turkish Statistical Institute.
Erdoğan, M Sami, Oruç, Özlem Ege
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‘Asymptotic properties of penalized spline estimators’
Biometrika, 2009 We study the class of penalized spline estimators, which enjoy similarities to both regression splines, without penalty and with fewer knots than data points, and smoothing splines, with knots equal to the data points and a penalty controlling the roughness of the fit.
Gerda Claeskens +2 more
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Bootstrapping for Penalized Spline Regression [PDF]
Journal of Computational and Graphical Statistics, 2009 We describe and contrast several different bootstrap procedures for penalized spline smoothers. The bootstrap methods considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered as an estimation technique to find an unknown smooth function ...
Kauermann, Göran +2 more
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Frontiers in Aging Neuroscience, 2022 PurposePreviously, sex and apolipoprotein E (APOE) genotype had distinct effects on the cognitive trajectory across the Alzheimer’s disease (AD) continuum.
Jun Pyo Kim +21 more
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A Semiparametric Sequential Ordinal Model with Applications to Analyse First Birth Intervals
Austrian Journal of Statistics, 2016 A semiparametric sequential ordinal model is proposed to analyze socio-demographic and spatial determinants of first birth intervals after marriage. Random effects are introduced to capture spatially structured and unstructured latent covariates.
Lawrence Kazembe
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Mathematics, 2021 The financial catastrophe resulting from the out-of-pocket payments necessary to access and use healthcare systems has been widely studied in the literature. The aim of this work is to predict the impact of the financial catastrophe a household will face
Maria-Carmen García-Centeno +2 more
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Quantifying spatial disparities in neonatal mortality using a structured additive regression model. [PDF]
PLoS ONE, 2010 BACKGROUND: Neonatal mortality contributes a large proportion towards early childhood mortality in developing countries, with considerable geographical variation at small areas within countries.
Lawrence N Kazembe, Placid M G Mpeketula
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Application of Penalized Splines in Analyzing Neuronal Data [PDF]
Biometrical Journal, 2009 AbstractNeuron experiments produce high‐dimensional data structures. Therefore, application of smoothing techniques in the analysis of neuronal data from electrophysiological experiments has received considerable attention of late. We investigate the use of penalized splines in the analysis of neuronal data. This is first illustrated when interested in
MARINGWA, John +7 more
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Intensity estimation on geometric networks with penalized splines
The Annals of Applied Statistics, 2022 In the past decades, the growing amount of network data has lead to many novel statistical models. In this paper we consider so called geometric networks. Typical examples are road networks or other infrastructure networks. But also the neurons or the blood vessels in a human body can be interpreted as a geometric network embedded in a three ...
Schneble, Marc, Kauermann, Göran
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