A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

The community component of the model seeks for shared patterns in how the species respond to environmental covariates. We illustrate the modeling framework in the context of logistic regression and ...

A hierarchical logistic regression model is proposed for studying data with group structure and a binary response variable. The group structure is defined by the presence of micro observations ...

Putting it all together Breaking the network into a layered hierarchical structure makes designing, understanding, upgrading, and troubleshooting easier.

Figure 4. Model evolution: Hierarchical pyramid structure (left) to network structured architecture (right). Can the concepts of ISA95 that have been well understood and accepted in industry be used ...

The Purdue Model has provided a hierarchical structure for industrial communications to keep computing and networks deterministic. But in the age of IoT, data flow is no longer ...