Technical Background and Innovation The emergence of the 'Lingji Smart City' large model relies on nearly a century of accumulated engineering drawing data from the Chongqing Design Institute, ...

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 ...

In the field of smart logistics, Jiaozuo Dawn Steps Technology Co., Ltd. has recently applied for a patent titled "A Smart Logistics Solution System Based on Big Data and Blockchain." This innovative ...

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, ...

Motivated by ultrahigh-dimensional biomarkers screening studies, we propose a model-free screening approach tailored to censored lifetime outcomes. Our proposal is built upon the introduction of a new ...

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 ...

A dimensional model is a type of data model that is less rigid and structured than other types of models. It is best for a contextual data structure that is more related to the business use or ...