The Hierarchical data modeling technique follows a tree-like structure where its nodes are sorted in a particular order. A hierarchy is an arrangement of items represented as “above,” “below ...

Interpreting 'omics data often involves statistical ... The validity of model assumptions, such as those on the hierarchical structure and the distributions at the top and bottom levels, is ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

In this article, we describe the backbone of this solution: the hierarchical data model (HDM). HDM is equivalent to a portable CDC IP that captures the CDC intent of any block along with its ...

BACKGROUND Whilst some argue that a solution to the age-period-cohort (APC) ‘identification problem’ is impossible, numerous methodological solutions have been proposed, including Yang and Land‟s ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions ... By utilizing the river network's structure to integrate flow and stage data from upstream gauges, along with ...