Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

The new reasoning AI, named the Hierarchical Reasoning Model (HRM), is inspired by the human brain's hierarchical and ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it ...

Louis M. Rocconi, Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression, Higher Education, Vol. 66, No. 4 (October 2013), pp. 439-461 ...

Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in which regression coefficients are themselves given a model, whose parameters are also estimated from ...

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 ...

Hierarchical data model generation during IP verification: During IP-level CDC verification, a data model is generated along with CDC results. This HDM contains all the necessary information about the ...

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 ...

Storage systems that are built around a hierarchical model will more easily accept XML data and will do so without having to perform relational and indexing gymnastics as they would with a ...