Results 81 to 90 of about 15,953 (268)
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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Journal of Statistical Software, 2010 Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data.
Vito M. R. Muggeo
doaj
Estimation of Single-Index Models Based on Boosting Techniques [PDF]
, 2008 In single-index models the link or response function is not considered as fixed. The data determine the form of the unknown link function. In order to obtain a flexible form of the link function we specify the link function as an expansion in basis ...
Leitenstorfer, Florian, Tutz, Gerhard
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Joint Estimation and Bandwidth Selection in Partially Parametric Models
Journal of Applied Econometrics, EarlyView.ABSTRACT We propose a single‐step approach to estimating a model with both a known nonlinear parametric component and an unknown nonparametric component. We study the large sample behavior of a simultaneous optimization routine that estimates both the parameter vector of the parametric component and the bandwidth vector used to smooth the unknown ...
Daniel J. Henderson +2 more
wiley +1 more source
A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models
Journal of Applied Econometrics, EarlyView.ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
wiley +1 more source
Asymptotic theory of penalized splines
Electronic Journal of Statistics, 2019 The paper gives a unified study of the large sample asymptotic theory of penalized splines including the O-splines using B-splines and an integrated squared derivative penalty [22], the P-splines which use B-splines and a discrete difference penalty [13], and the T-splines which use truncated polynomials and a ridge penalty [24].
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Some Asymptotic Results on Generalized Penalized Spline Smoothing [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2007 SummaryThe paper discusses asymptotic properties of penalized spline smoothing if the spline basis increases with the sample size. The proof is provided in a generalized smoothing model allowing for non-normal responses. The results are extended in two ways. First, assuming the spline coefficients to be a priori normally distributed links the smoothing
Kauermann, Göran +2 more
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Smooth-car mixed models for spatial count data [PDF]
, 2008 Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Durbán, María, Lee, Dae-Jin
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
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Journal of Intelligent Medicine, EarlyView.Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif +2 more
wiley +1 more source