When performing dimension modeling, the atomic data is loaded into dimensional structures. Then the dimensional models are generated or built around the business processes. While creating, filter ...

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 ...

At the launch event for the "Lingji Smart City" large model held in Chongqing, a groundbreaking urban digital twin technology ...

We propose a new sparsity-smoothness penalty for high-dimensional generalized additive models. The combination of sparsity and smoothness is crucial for mathematical theory as well as performance for ...

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, ...

The Data Warehouse Developer must have a sound understanding of BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and ...

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 ...