On the Restricted Almost Unbiased Ridge Estimator in Logistic Regression
Nagarajah Varathan +1 more
openalex +2 more sources
Wind Resource Evaluation With Atmospheric Stability Across Different Surface Types
Wind resource evaluation with atmospheric stability across different surface types. ABSTRACT This study investigates the influence of atmospheric stability on wind resource assessment across various surface conditions, focusing on wind shear and prevailing wind direction as key analytical parameters.
Zejia Hua, Wei Tao, Guanjun Wang
wiley +1 more source
Biochemical Associations with Depression, Anxiety, and Stress in Hemodialysis: The Role of Albumin, Calcium, and β<sub>2</sub>-Microglobulin According to Gender. [PDF]
Zaragoza Fernández GM +5 more
europepmc +1 more source
The Impact of Resource Endowment and Digital Transformation on the Efficiency of Energy Transition
Resource endowment has a significant positive direct effect and a stronger spatial spillover effect on ETE, while digital transformation can improve local efficiency but has some negative spillover effects on neighboring regions. ABSTRACT In contemporary society, improving energy transition efficiency (ETE) has become a necessary measure to ensure the ...
Junding Yang +5 more
wiley +1 more source
Model Validation for Survival Analysis by Smoothed Predictive Likelihood. [PDF]
Lu C, Putter H, Girondo MR, Goeman JJ.
europepmc +1 more source
Anuran call properties as reliable indicators of environmental suitability for reproduction
The onset of animal breeding activity is often accompanied by auditory signals, typically produced by males, that indicate reproductive status to potential mates and competitors. Here, using male anuran advertisement calls as a case study, we present the novel hypothesis that characteristics of ectotherm auditory signals that are modulated by ...
Julianne E Pekny +2 more
wiley +1 more source
Robust Cancer Biomarker Identification From Matched Transcriptomic Data Via Bootstrapped Regularized Conditional Logistic Regression. [PDF]
Wang JH, Wu ZH, Lu HC, Guo TY.
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Random Neural Networks for Rough Volatility. [PDF]
Jacquier A, Žurič Ž.
europepmc +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source

