Results 91 to 100 of about 6,450 (280)
Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Applied Sciences, 2020 Smoothing is one of the fundamental procedures in functional data analysis (FDA). The smoothing parameter λ influences data smoothness and fitting, which is governed by selecting automatic methods, namely, cross-validation (CV) and generalized ...
Muhammad Athif Mat Zin +3 more
doaj +1 more source
Comparison of Significant Approaches of Penalized Spline Regression (P-splines)
Pakistan Journal of Statistics and Operation Research, 2018 Over the last two decades P-Splines have become a popular modeling tool in a wide class of statistical contexts. Fundamentally, semiparametric regression methods combine the leads of parametric and nonparametric approaches to regression analysis, while in precise, penalized spline regression uses the knowledge of nonparametric spline smoothing as a ...
Saira Sharif, Shahid Kamal
openaire +2 more sources
Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression
Journal of Mathematics, 2020 So far, most of the researchers developed one type of estimator in nonparametric regression. But in reality, in daily life, data with mixed patterns were often encountered, especially data patterns which partly changed at certain subintervals, and some ...
Ni Putu Ayu Mirah Mariati +2 more
doaj +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].
openaire +2 more sources
Remote Sensing in Ecology and Conservation, EarlyView.Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska +7 more
wiley +1 more source
A Two-Stage Estimation Approach to Cox Regression Under the Five-Parameter Spline Model
MathematicsThe Cox proportional hazards model is one of the most popular regression models for censored survival data. In the Cox model, the baseline hazard function is often modeled by cubic spline functions.
Ren Teranishi +2 more
doaj +1 more source
VIEW, EarlyView.The full editable vector source file of this graphical abstract is uploaded as a supplementary EPS file for typesetting. All elements are copyright‐free. Abstract Age‐related ocular diseases (ARODs), including cataract, primary open‐angle glaucoma (POAG), and age‐related macular degeneration (AMD), are leading causes of vision impairment and exhibit ...
Linge Jian +6 more
wiley +1 more source
JHLT OpenBackground: Guidelines regarding recipient's body mass index (BMI) for heart transplant are evolving with variable cutoffs depending on the country and institution.
Reid Dale, PhD +3 more
doaj +1 more source
Survival analysis of the patients with acute myocardial infarction by use of penalized splines [PDF]
Background and aim: Cardiovascular diseases are one of the most common causes of death and also major health problems in the world. The classical methods such as Cox regression are used in most medical studies on survival distribution, while this model ...
حاجی زاده, ابراهیم +3 more
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