In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

By implementing dimensional modeling, businesses can report, query, and analyze data. Facts, dimensions, and attributes make up the core of dimensional modeling. Facts are categorised as additive, ...

High-dimensional classification is an important and challenging statistical problem. We develop a set of quadratic discriminant rules by simplifying the structure of the covariance matrices instead of ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

The patent summary indicates that the invention relates to the field of meteorological short-term forecasting technology, specifically to a forecast model architecture based on point cloud data and a ...

At the launch event of the 'Lingji Smart City' large model product held in Chongqing, a groundbreaking urban digital twin technology was officially unveiled. This product was developed by the ...