Publications and Research
Document Type
Poster
Publication Date
5-8-2025
Abstract
Bayesian Statistics applies Bayes' Theorem to update beliefs through new evidence. In this project, I explored how Bayesian Statistics applies into real supporting decision-making under uncertainty. By solving problems using data, I was able to realize how prior knowledge and evidence collaborate to make better conclusions. The project also demonstrates how Bayesian reasoning corrects our intuition to make decisions based on logical reasoning. Through this project, I was able to learn why using probability to make informed decisions matters both in science and real life.
Comments
This poster, second place winner for STEM individual projects, was presented at the 42nd Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, May 8, 2025. Mentor: Prof. Satyanand Singh (Mathematics).