Results 41 to 50 of about 680,702 (313)
Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
SummaryContemporary statistical research frequently deals with problems involving a diverging number of parameters. For those problems, various shrinkage methods (e.g. the lasso and smoothly clipped absolute deviation) are found to be particularly useful for variable selection. Nevertheless, the desirable performances of those shrinkage methods heavily
Wang, H., Li, B., Leng, C.
openaire +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Robust generalized cross-validation for choosing the regularization parameter [PDF]
Let fλ be the regularized solution for the problem of estimating a function or vector f0 from noisy data yi ≤ Lif0 + εi, i ≤ 1, ..., n, where Li are linear functionals.
Lukas, M.A.
core +1 more source
Health insurance industry is very much needed by the community in handling the financial risks in the health sector. The number of claims greatly affects the achievement of profits and the sustainability of the health insurance industry.
Syaiful Anam +4 more
doaj +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Robust estimation of the Hurst parameter and selection of an onset scaling. [PDF]
We consider the problem of estimating the Hurst parameter for long-range dependent processes using wavelets. Wavelet techniques have been shown to effectively exploit the asymptotic linear relationship that forms the basis of constructing an estimator ...
Park, Cheolwoo, Park, Juhyun
core
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
Brain tumor classification is a critical task in medical imaging, as accurate diagnosis directly influences treatment planning and patient outcomes.
Karim Gasmi +8 more
doaj +1 more source
Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles
Metaheuristic algorithms have been applied to a wide range of global optimization problems. Basically, these techniques can be applied to problems in which a good solution must be found, providing imperfect or incomplete knowledge about the optimal ...
Antonino A. Feitosa Neto +2 more
doaj +1 more source
Statistical analysis of existing test results of HSS model parameters for soft soils
The small-strain soil hardening model (HSS model) takes into account the small-strain characteristics of the soil. In terms of simulating and predicting the deformation of underground engineering with strict deformation control standards, the numerical ...
CHEN Yun 1, 2, LUO Min-min 1, 2, XIA Neng-wu 3, HE Peng 3
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source

