Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

This is a preview. Log in through your library . Abstract Perceptions of organizational climate, leadership, and group processes were aggregated within hierarchically nested work groups. Relationships ...

Computational modeling is the use of mathematics, physics, and computer science to create complex, dynamic models of systems based on multiple data points. The growth of sophisticated data-gathering ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

Improving projections for how much ocean levels may change in the future and what that means for coastal communities has vexed researchers studying sea level rise for years, but a new international ...