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 ...

Artificial intelligence observability service Arize has a new product that helps companies identify when prompt data causes large language models (LLMs) to go wrong or hallucinate. Designed for AI ...

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...

Physicists and marine biologists built a quantitative framework that predicts how coral polyps collectively construct a variety of coral shapes. Since before she could remember, Eva Llabrés was a ...