Obesity is a growing global health concern strongly linked to behavioral and lifestyle factors such as diet, physical activity, alcohol consumption, and transportation habits. This project proposes a categorical data analysis approach to uncover direct statistical associations and visualization of how lifestyle behaviors correspond with obesity categories, providing an interpretable and health-relevant perspective.

As of June 15, 2026

Spatial Machine Learning Analysis of the 2023 Parliamentary Election Zuzanna Herniczek, Weidong Bai

A Monthly MPP Adaptation Inspired by Bogdanski, Tombini & Werlang (2000) Inspired by the BCB Small-Scale Model (MPP) — Bogdanski, Tombini & Werlang (2000) June 18, 2026

Reproducible example of bookdown::html_document2 rendering issue

eCOTS 2026 Regional Conference @ ISU