ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Identifying the Best Predictive Biomarker in Pharmacogenomics Through Multiple Comparisons With the Best. [PDF]
Zhai S, Shen J, Hsu JC, Cui X.
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Machine Learning Approach to Predict Postoperative Pain and Opioid Usage in Elective Primary Spine Surgery: A Retrospective Study. [PDF]
Saksenberg DL +7 more
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
Comparative Evaluation of Allometric, Machine Learning, and Ensemble Approaches for Modeling Dynamic Structure-Fresh Weight Relationships in Sweet Pepper. [PDF]
Kang JH, Moon T.
europepmc +1 more source
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley +1 more source
Leveraging unmanned aerial vehicle derived multispectral data for improved genomic prediction in potato (Solanum tuberosum). [PDF]
Yusuf M +4 more
europepmc +1 more source
Sensory‐driven optimization of multi‐millet cookie formulation using RSM. ABSTRACT The effect of the composition of multi‐millet flour on the sensory acceptability of gluten‐free cookies containing xanthan gum as a binding agent was investigated and optimized.
Akash Kumar +4 more
wiley +1 more source
Enhanced diagnostic interpretation of the MoCA using machine learning. [PDF]
Gourdeau C +3 more
europepmc +1 more source

