An unpublished, undated manuscript belonging to Erwin Schrödinger lies in the Austrian Central Library ...

A simulation study on real-world data from older adults found that the number of cross-validation folds, stratification and ...

A review of 95 studies from 1980–2021 maps the environmental and anthropogenic variables used in jaguar occurrence models and ...

Latent variable models offer a powerful framework for capturing the unobserved psychological and social factors that drive individual travel choices. By integrating structural equation modelling with ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make predictions or to create new content. The quality ...

Long-term capacity expansion models of the U.S. electricity sector have long been used to inform electric sector stakeholders and decision makers. With the recent surge in variable renewable energy ...