Results 91 to 100 of about 15,886 (254)
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
Med Research, EarlyView.Using data from the Global Burden of Disease Study 2021, we systematically assessed leukemia prevalence and disability‐adjusted life years (DALYs) across 204 countries and territories from 1990 to 2021, stratified by subtype, demographics, and risk factors.
Yuping Wu +8 more
wiley +1 more source
Partial and Interaction Spline Models for the Semiparametric Estimation of Functions of Several Variables [PDF]
, 1986 A partial spline model is a model for a response as a function of several variables, which is the sum of a smooth function of several variables and a parametric function of the same plus possibly some other variables.
Wahba, Grace
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Boosting Additive Models using Component-wise P-Splines [PDF]
, 2007 We consider an efficient approximation of Bühlmann & Yu’s L2Boosting algorithm with component-wise smoothing splines. Smoothing spline base-learners are replaced by P-spline base-learners which yield similar prediction errors but are more advantageous ...
Hothorn, Torsten, Schmid, Matthias
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Bayesian Analysis for Penalized Spline Regression Using WinBUGS [PDF]
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Ciprian M. Crainiceanu +2 more
core +1 more source
Nonconcave penalized likelihood with a diverging number of parameters
, 2003 A class of variable selection procedures for parametric models via nonconcave penalized likelihood was proposed by Fan and Li to simultaneously estimate parameters and select important variables.
Fan, Jianqing, Peng, Heng
core +4 more sources
Trend Estimation with Penalized Splines as Mixed Models for Series with Structural Breaks [PDF]
, 2014 On purpose to extract trend and cycle from a time series many competing techniques have been developed. The probably most prevalent is the Hodrick Prescott filter. However this filter suffers from diverse shortcomings, especially the subjective choice of
Blöchl, Andreas
core +2 more sources
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
BMC Medical Research Methodology, 2017 Background Thanks to the advances in genomics and targeted treatments, more and more prediction models based on biomarkers are being developed to predict potential benefit from treatments in a randomized clinical trial.
Nils Ternès +2 more
doaj +1 more source
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT This study presents large deformation computational methods to simulate lateral vehicular impacts on steel piles in granular soil. Soil‐mounted longitudinal barrier systems rely on energy dissipation in both the piles and the surrounding soil to safely redirect errant vehicles, so dynamic pile‐soil interaction is important for design ...
Tewodros Y. Yosef +6 more
wiley +1 more source