Vector autoregression (VAR): Useful for analysing time series data, making them relevant for certain aspects of patient flow forecasting, such as understanding the impact of treatment rate changes ...

This paper introduces an autoregression-based single-field deinterlacing algorithm. The proposed algorithm provides a block-wise autoregression mechanism that considers mutual influence between the ...

Advanced econometric techniques, such as Vector Autoregression (VAR) models and Artificial Neural Networks (ANNs), have been developed to improve the accuracy of exchange rate forecasting by ...

In the current era of online publication, the publication rate of online news articles has grown exponentially. The classification of news articles is crucial for easier comprehension of online ...

Nvidia Corporation's strong fundamentals in the AI market and underestimated free cash flow growth make its shares highly ...

Apple (AAPL) is reportedly weighing the benefits of using artificial intelligence models from Anthropic or the ...