Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang Bochao Jia, Faming Liang Chapman & Hall August 2, 2023 About the book (from the… ...

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, ...

What does dimensional modeling actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

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 ...

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 ...

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 ...

David E. Foster, An Overview of Zero-Dimensional Thermodynamic Models for IC Engine Data Analysis, SAE Transactions, Vol. 94, Section 7: FUELS AND LUBRICANTS (1985), pp. 436-449 ...