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Theses/Project Reports from 2025

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Deep Learning Framework For Option Pricing, Kyle Rytand Bistrain

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Density-Based and Model-Based Clustering with Tidyclust in R, Brendan S. Callender

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Investigating Social Presence in Collaborative Keys for Asynchronous Courses, Lily P. Cook

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Bandwagon Behavior in Major League Baseball, Daniel E. Erro

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Babies, Babes, and Bayes: Modeling Mother-Infant Feedings with Bayesian Multilevel Hidden Markov Models, Zachary G. Felix

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Exploring Synthetic Data Generation for Machine Learning and Statistical Analysis, Aditi S. Gajjar

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Assessing Students’ Attitudes and Self-Efficacy in Introductory Statistics Courses, Kendall Hipes

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A Case Study of Leveraging Auxiliary Data to Improve Treatment Effect Estimation Precision in an HIV Clinical Trial, Lana Mai Huynh

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Frequent Itemset Mining with tidyclust in R, Andrew D. Kerr

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Opening the Black Box with REGAL: A Novel Explainable AI Approach to Uncover Key Predictors in Search and Rescue Success, Brandon Hyunjun Kim

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Clusters, Trends, and Choices: Feature Selection in Interactive Statistical Graphics, Dylan Le

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Statistical Investigations of Strategies in the Game Ecosystem, Dylan Li

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Birch With Tidyclust In R, Jacob Perez

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Enhancing Non-Player Character Dialogue in Video Gages: An Evaluation of Large Language Model-Generated Responses, Lam P. Quach

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Short Exact Confidence Intervals for the Parameters of the Negative Hypergeometric Distribution, Rachel Roggenkemper