The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Abstract: Traditional machine learning approaches for regression tasks typically rely on manually selecting appropriate features, training a model, and tuning model hyperparameters, all of which can ...

Objective: To develop a radiomics-based predictive model for capsular invasion in thymomas by applying machine learning algorithms to non-contrast and contrast-enhanced CT imaging. This study aimed to ...

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...

Abstract: In permanent magnet linear synchronous machines, the longitudinal end effect gives rise to the manifestation of asymmetric and time-varying characteristics. When employing the model-based ...