Theses/Dissertations from 2026
Learning Weibull Loss Severity Models From Truncated And Censored Data, Majed Alkhasha
Robust Linking Estimation in Item Response Theory Using Quantile Regression: Applications to the Graded Response and Generalized Partial Credit Models, Ibrahim Almansour
Theses/Dissertations from 2025
Supervised Topic Modeling for Scientific Texts: Bayesian Shrinkage Methods and Domain-Specific Applications in Forensics and Online Aggression Sciences, Amir Alipour Yengejeh
Clustering and Classification Methods for Forensic Science Applications, Slun Booppasiri
Robust Evaluation Framework On Adversarial Purification, Yuan Du
Fast Differentiable Projection Layers onto High-Dimensional Polytopes for Large-Scale Predictive Modeling, Camilo Gomez
Sparse Low-rank Tensor Logistic Regression with Applications in Neuroimaging, Michael Hurtado
Least Squares Support Vector Data Description with Adaptive Optimizers, Daniel Markwei
A Unified Thermodynamic Framework for Regime Discovery, Entropy-Aware Optimization, and Emergent Leadership in Flocking Systems, VICTOR NKWOCHA
Robust Multiple Change Point Detection for Streaming Data, Randyll Pandohie
Comparative Analysis of Estimation Techniques on Human Performance in Seek-and-Place Tasking, Adam J. Wehr
Domain-Constrained Clustering: A Two-Stage Framework for Muscle Fiber Type Identification, Fanchao Yi
Theses/Dissertations from 2024
Enhancing Student Graduation Rates by Mitigating Failure, Dropout, and Withdrawal in Introduction to Statistical Courses Using Statistical and Machine Learning, Shahabeddin Abbaspour Tazehkand
Entropic Dynamics in Societal Systems: Integrating Social Physics, Computational Modeling, and Statistics for Understanding Social Change, Sahar A. Awaji
Deep Learning One-Class Classification With Support Vector Methods, Hayden D. Hampton
Film Adaptation of Novels Through GenAI, Joshua M. Head
Bayesian Variable Selection with Shrinkage Priors and Generative Adversarial Networks for Fraud Detection, Amina Issoufou Anaroua
Enhancing NFL Game Insights: Leveraging XGBoost For Advanced Football Data Analytics To Quantify Multifaceted Aspects Of Gameplay, Christopher P. Schoborg
Advancing Medical Diagnostics: A Comprehensive Study of Fundus Image Analysis Techniques, Rui Yang
Theses/Dissertations from 2023
Smoothing Spline Analysis of Variance Models On Accelerometer Data, Lulu Chen
Homogeneity Test on Error Rates from Ordinal Scores and Application to Forensic Science, Ngoc Ty Nguyen
Football By the Numbers: A Look Into Sports Analytics Currently Used in the National Football League, Christopher Schoborg
Automated Machine Learning: Intellient Binning Data Preparation and Regularized Regression Classfier, Jianbin Zhu
Theses/Dissertations from 2022
Change Point Detection for Streaming Data Using Support Vector Methods, Charles Harrison
Bayesian Spatiotemporal Modeling with Gaussian Processes, Qing He
Graph Neural Networks for Improved Interpretability and Efficiency, Patrick Pho
Theses/Dissertations from 2021
An Evaluation of the Performance of Proc ARIMA's Identify Statement: A Data-Driven Approach using COVID-19 Cases and Deaths in Florida, Fahmida Akter Shahela
Theses/Dissertations from 2015
Theses/Dissertations from 2014
Statistical Analysis of Depression and Social Support Change in Arab Immigrant Women in USA, Hazhar Blbas
Theses/Dissertations from 2013
Sparse Ridge Fusion For Linear Regression, Nozad Mahmood
Theses/Dissertations from 2006
Modeling And Characterizations Of New Notions In Life Testing With Statistical Applications, Mohammad Sepehrifar