The quantile varying coefficient model is robust to data heterogeneity, outliers and heavy-tailed distributions in the response variable. In addition, it can flexibly model dynamic patterns of ...

This repository provides a simple and beginner-friendly tutorial on creating a regression model using Python, TensorFlow, and other popular libraries. The model predicts outputs based on a small ...

It employs a multi-method approach, integrating theoretical insights with empirical evidence. The analysis is based on a micro-survey of 866 rural households, utilizing mediation, moderation, and ...

Department of Statistics & Data Science, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States ...

Finally, attention emerged as a pivotal mediator of the relationship between hunger state and food choice. Quantile plots of simulated data with fitted parameters of the maaDDM2ϕ in blue (sated) and ...