Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Abstract: Code translation migrates codebases across programming languages. Recently, large language models (LLMs) have achieved significant advancements in software mining. However, handling the ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Drilling at Barton Gold's (ASX: BGD) Tolmer gold-silver prospect in South Australia has confirmed the local structural model to be analogous to the eastern portion of the historical Tarcoola goldfield ...

This paper introduces the Israeli Structural Model (ISM), a New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) model tailored to reflect key characteristics of the Israeli economy. The ISM ...

Abstract: This paper addresses the two-view geometric model fitting problem on the multi-structural data with severe outliers for providing reliable and consistent fitting results. The key idea is to ...

We explore the evolving significance of different production sectors within the U.S. economy since World War II and provide methods for estimating and forecasting these shifts. Using a compositional ...

Objective: To develop and internally validate interpretable machine learning (ML) models for predicting individual central line-associated bloodstream infection (CLABSI) risk in adult ICU patients ...

Vietnam’s economic rise has been extraordinary. The country has made a triple transition from central planning to a market economy, from import substitution to export-led integration and from extreme ...