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 ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts!

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

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

In this project we aim to develop a regression model that uses sleep-related, lifestyle, and physiological information to predict an individual’s self-reported stress level. Research shows that 30–40% ...

This is a python version of the Nutrient Requirments of Dairy Cattle 8th revisied edition (NASEM 2021)[https://nap.nationalacademies.org/catalog/25806/nutrient ...

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...