Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

A special issue of the journal Frontiers in Ecology and the Environment lays the foundation for pursuing structural diversity as a new research direction in ecology. The issue, funded by the National ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...