Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.

Linear television continues to play the most influential role in how consumers discover, research and decide on home improvement services, even among heavy streaming audiences, according to a new ...

The structural stability of coal seam roof rock mass under dynamic load in engineering practice is directly influenced by the dynamic characteristics of weakly consolidated coal measures rock. A study ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Ad spending continued its shift away from linear TV to streaming during this year’s upfront ad-buying season, but, thanks in part to the growth of free ad-supported streaming services (FASTs), buyers ...

Abstract: This study addresses critical gaps in financial risk assessment and portfolio optimization by integrating advanced machine learning (ML) and deep learning (DL) techniques to handle the ...

ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...

Children with hemophilia have problems with dynamic balance — the ability to maintain balance while moving — and an increased risk of falls compared with healthy peers, according to a new study by two ...