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Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: The rapid growth of the cryptocurrency market has raised the need for an effective model to predict opening prices and assist investors and policymakers in decision-making. Traditional ...

Permian Resources delivers strong Q2 results with rising production, successful acquisitions, and increased full-year guidance, reinforcing its position as a top US energy company. Financial ...

ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...

Nvidia Corp. announced today that it’s expanding its offerings of smarter AI models, physical intelligence for robotics and powerful enterprise AI servers. Leading the news at the ACM SIGGRAPH 2025 ...

In the natural sciences, a laboratory experiment can isolate variables, various particles and their movements. Similarly, the employment of an econometric model is an attempt to produce an economic ...

Abstract: Deep graph learning models have recently been developed to learn from various graphs that are prevalent in describing and modeling complex systems, including those in bioinformatics. However ...

A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...

Permian Resources delivered strong Q1 2025 results: production, revenue, and free cash flow all surged while debt and costs declined, boosting shareholder returns. Strategic acquisitions, asset sales, ...