ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
If you love creative paracord projects, mind-blowing weaves, and unique survival gear, you need to follow me! Join the Weavers of Eternity community for expert tutorials, fun challenges, and must-know ...
Abstract: In this article, we investigate the utilization of the restricted Bayesian lasso regression, focusing on high-dimensional models that incorporate linear inequality constraints on the ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...
Survival models using EHR data predicted progression from NPDR or DME to PDR in type 2 diabetes patients. Key risk factors for progression included age, race, NPDR severity, and diabetic nephropathy.
Institutional experience with pancreatic head versus body/tail cancer: A comparison of treatment outcomes. Preclinical study of safety and efficacy in vivo of a yttrium-90 resin microspheres glue ...
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