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 ...

Dimensional data modeling helps developers create and design databases and Schemas easily interpreted by business users. The relationship between dimensions and facts is fairly simple to read and ...

How to control for the confounders in ultrahigh dimensional data analysis is a critical and challenging issue. In this paper, we propose a novel sure independence screening method based on conditional ...

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 ...

Thus, MBD (Model-Based Definition) emerged, which is no longer just a three-dimensional model but a digital twin that carries ...

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 ...