Results 81 to 90 of about 6,450 (280)
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Magnetic resonance spectroscopy techniques are widely used to non‐invasively study brain metabolism. Despite advances in magnetic resonance spectroscopic imaging (MRSI), there is a notable absence of research on comparing fast non‐Cartesian MRSI with single‐voxel spectroscopy (SVS), limiting our understanding of its performance and ...
Young Woo Park +3 more
wiley +1 more source
Unemployment Duration in Germany – A comprehensive study with dynamic hazard models and P-Splines [PDF]
This paper makes use of data from the German socio-economic panel to gain new insights into the determinants of unemployment duration in Germany. Due to substantial differences with respect to labour market outcomes we follow a stratified approach with ...
Torben Kuhlenkasper +1 more
core +2 more sources
Precision Radiation Oncology, EarlyView.A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni +7 more
wiley +1 more source
The penalized Lebesgue constant for surface spline interpolation [PDF]
Proceedings of the American Mathematical Society, 2011 Problems involving approximation from scattered data where data is arranged quasi-uniformly have been treated by RBF methods for decades. Treating data with spatially varying density has not been investigated with the same intensity and is far less well understood.
openaire +2 more sources
, 2013 Teuber T. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles.
Teuber, Timo
core
Semiparametric estimation for a class of time-inhomogenous diffusion processes [PDF]
, 2009 Copyright @ 2009 Institute of Statistical Science, Academia SinicaWe develop two likelihood-based approaches to semiparametrically estimate a class of time-inhomogeneous diffusion processes: log penalized splines (P-splines) and the local log-linear ...
Wang, H, Li, M, Yu, Y, Yu, K
core
Proteins: Structure, Function, and Bioinformatics, EarlyView.ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source
Pspatreg: R Package for Semiparametric Spatial Autoregressive Models
MathematicsThis article introduces the R package pspatreg, which is publicly available for download from the Comprehensive R Archive Network, for estimating semiparametric spatial econometric penalized spline (P-Spline) models.
Román Mínguez +2 more
doaj +1 more source
Locally Adaptive Bayesian P-Splines with a Normal-Exponential-Gamma Prior [PDF]
, 2008 The necessity to replace smoothing approaches with a global amount of smoothing arises in a variety of situations such as effects with highly varying curvature or effects with discontinuities.
Scheipl, Fabian, Kneib, Thomas
core +1 more source
Polar‐low track prediction using machine‐learning methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source