The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang Bochao Jia, Faming Liang Chapman & Hall August 2, 2023 This book offers a comprehensive… ...

In multidimensional data modeling practice, there is the concept of a bridge dimension. A bridge dimension, being the dimensionalized equivalent of a normalized data design’s associative entity, ...

Albert Maydeu-Olivares, Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates, Journal of Educational and Behavioral Statistics, Vol. 26, No. 1 ...

Recently, Central Control Technology released a new upgraded version of its time-series large model TPT2 (Time-series Pre-trained Transformer), marking the official entry of industrial AI into a "time ...

A degenerate dimension is an easy, and, at the same time, subtle, aspect of multidimensional data modeling. Effectively, a degenerate dimension is a dimension that has not been implemented as a ...

Data were analyzed using a structural equations modeling approach in which variables from all domains, plus baseline decayed missing and filled surfaces and baseline mutans, were used together to ...