Creative Component Presentation Titles and Student, By Year

2023

  1. Sam Dannels, Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data, Advisor: Kung-Sik Chan
  2. Shamriddaha De, Robust Bayesian Variable Selection Using a Hyperbolic Error Model, Advisor: Joyee Ghosh
  3. Zhenhan Fang, Density Estimation using Nonlinear Independent Components Estimation, Advisor: Jian Huang and Aixin Tan
  4. Chenyang Li
  5. Ian Lundy, A Comparison of Frequentist and Bayesian Model Selection Methods, Advisor: Luke Tierney
  6. Alfonso Martinez, An EM Algorithm for Beta Item Factor Analysis, Advisor: Joseph Lang
  7. (Anh) Phuong Anh Nguyen, Selecting Markov Chain Monte Carlo Algorithms with Kernel Stein Discrepancy, Advisor: Aixin Tan
  8. Collin Nill, ZIEL: A Simple Yet Powerful Approach to Zero Inflated Data, Advisor: Boxiang Wang
  9.  Sreya Sarker,  Tree-Based Regression for International Classification of Diseases, Advisor: Sanvesh Srivastava
  10. Nathan Tansey, Optimal Acoustics, Advisors: Matt Bognar and James Traer (Department of Psychological and Brain Sciences)
  11. James Thomas, Cancer Pathology Classification with Radiomic Imaging Covariates, Advisor: Sanvesh Srivastava
  12. Yilin Wang, Online Statistical Inference and Conformal Prediction with Nonstationary Streaming Data, Advisor: Lan Luo

2022

  1. Qian Tang,  A Fast Algorithm for Kernel Quantile Regressio
  2. Justin Kelana, A Comparison of Likelihood Free Inference Methods of the Approximate Bayesian Computation Methods
  3. Ian Hultman, Variational Autoencoders for International Classification of Diseases Codes

2021

  1. Tyler Dennis, Can an Empty March Madness Bracket Give Enough Information to Predict a Bracket?
  2. Jessie Lu, Solving a Two-Stage Stochastic Linear Program with Complete Recourse with Varying Distributions of Random Variables
  3. Yujing Lu, Fast Prediction of the Frequency of Tropical Cyclones
  4. Yue Pan, The Semi-analytic Method in Lasso, 
  5. Tyler (William) Reynolds, "All Things to All People”: Modeling Attitudes to Social and Moral Issues in America and Western Europe Using Religious Attitudes
  6. Max Sampson, Comparing Doubly Robust Estimators with Other Estimators in Causal Inference and a Brief Check of a Proposed Missing-at-Random Data Estimator
  7. Yikai Zhang, Generalized Tic For Large-Margin Classifiers Strategies Using Spacial Analysis
  8. Haiyang Zhu, Reparameterization of Hierarchical Model Using Rating Dataset

2020

  1. Brady Anderson, "Game, Set, Stat: A Comparison of Model Performance Using a Variety of Tennis Metrics"
  2. Brad Dougherty, "A Custom Package for STAT:6560: UIAppliedTS"
  3. Alexander Liebrecht, "Feedforward Neural Network Exploration on Ames Housing Data Tuesday"
  4. Xingzhi Wang, "Tensor, a natural representation of multi-dimensional and high-order data"
  5. Zhen Wang, "A Composite Topic Model: HMM-LDA and Its Applications in Language Learning."
  6. Fei Wu, "Bayesian Models for Multiclass Classification"
  7. Zongyi Xu, "Gaussian Process Regression Using Tree Kernel as Covariance Function"

2019

  1. Willam Chew, "Comfort of Home: Components of the Home Court/Field Advantage."
  2. Ben Jacobs, "N-Gram Modeling in R."   
  3. Jiayue Li, "Comparing the classification methods using the breast cancer cell dataset."
  4. Chris Penney, "CPU Parallel Processing and Rcpp Optimization in R."
  5. Chunlei (Jonah) Wang, "Simple and Scalable Posterior Interval Estimation."
  6. Ling Zhang, "K-Logistic Clustering."
  7. Xingyu Zhou, "Dual Regression with LASSO penalty." 

2018

  1. Tim Ambrose, "Confidence Interval Coverage for Small Sample Sizes."
  2. Yoon Joo Cho, "Identifying Political Party from a Candidate's Speech Patterns: Naive Bayes versus Logistic Regression."
  3. Carter Huggins, "Modeling Incurred Loss for Trucking Accidents in the United States."            
  4. Tylar Jia, "Bayesian Variable Selection with Stan."
  5. Seung Wook Kim, "Correlation Matrices with the Positive Dominant Eigenvector and PCA Portfolios."
  6. Ben Lim, "Exchangeable Copulas with no Large-d Consistent Estimators: Investigating the Multivariate-t".
  7. Rebecca Rachan, "Comparison of Classification Methods in 2-dimensional Predictor Space."
  8. Alex Richter, "An Overview of Mark-Recapture Methods of Population Estimation.”
  9. Ruida Song, "Analysis of Time Series for Soil Moisture with Dynamic Linear Model."
  10. Liyang Sun, "Penalized Regression Model for Life Expectancy of Geriatric Patients".
  11. Chuyi Wang, “Pseudo Marginal Approach for Metropolis Hastings in Smooth Transition Auto-Regressive Model."
  12. Qing Xie, "Investigation of Sequential Maximum Likelihood Estimation in Multistage Testing Design."

2017

  1. Shiyang Chen, "Flexible Canonical Correlation Analysis" 
  2. Andrea Harlan, "An Investigation and Application of Random Forests"  
  3. Baosheng He, "A Bayesian SPC Method for Count Data in the Presence of Outliers"
  4. Elizabeth Held, "Dimensionality Reduction Methods and Classification: An Empirical Study", Samuel Justice, "Some General Methods for Analyzing the COM-Poisson Distribution"
  5. Xun Li, "Forecasting of North Atlantic Tropical Cyclone Activity with Bayesian Model Averaging"  
  6. Yiheng Liu, "New performance measure for PD models" 
  7. Tyler Olson, "Examining the Biased and Unstable Behavior of Satterthwaite Degrees of Freedom"  
  8. Huan Qin, "Apply Multi-Output Support Vector Regression to Time Series Prediction"   
  9. Jin Rui, "Non-negative least squares for high-dimensional linear models"  
  10. Jun Tang, "A Pairwise Dependence Measure of Spatial Extremes by the Peaks Over Threshold Approach"
  11. Alex Zajichek, "Modeling the probability of an NHL goal for player-placement strategy: A Naive (Bayes') approach"
  12. Hongda Zhang, “A New Linear Regression Method with High-Breakdown Point”   
  13. Yue Zhao, "Sparse Linear Modeling of RNA Sequencing Data for Isoform Discovery"      
  14. Qiansheng Zhu, "Solving convex relaxation to combinatorial 2-SUM problem”

2016

  1. Emily Eck: “A Statistical Analysis of Baseball Spray Charts”
  2. Can Guo: “Comparison of Time Series ARIMA, random forest and boosted tree models”
  3. Rui Huang:  “Concavely Penalized Clustering”
  4. Yunju Im:  "Estimating the number of components in Gaussian mixture models through a concave splitting method"
  5. Haoming Li: “Detection of Region with Temporal-Spatial Change of Vegetation Cover”
  6. Cunxian Ma:  "Improved exact confidence intervals for a binomial proportion"
  7. Steve Manning:  "A Comparison of Several Techniques for Longitudinal Data Analysis with Missing Observations"
  8. Jin Meng:  “Separating Jump Variation from Integrated Volatility via Wavelet Analysis, with Applications to Assessing the Seasonal Fluctuations in Nitrate Concentration in River Water in Iowa”
  9. Munir Nayak:  "Modelling number of winter extreme precipitation events over the central United States"
  10. Giang Nguyen: “Simulations Using Markov Chain Monte Carlo Methods”
  11. Reid Ronnander: "Statistical Applications in Music: Description and Classification"
  12. Tao Siyang: “The Exit Probabilities of a Renewal Risk Model”
  13. Tom Thanh: “Latent Dirichlet Allocation on Reddit Technology Posts”
  14. Wenda Tu:  “Is Uranium a Good Surrogate for Radon in Predicting Lung Cancer: A Study on Bayesian Spatial Generalized Linear Model”
  15. Songtao Wan: “A Modification On No-Arbitrage Pricing Model Of Cat Bonds”
  16. Tyler Zemla: "An Analysis of Classification Tree-Determined Strike Zones in Major League Baseball"

2015

  1. Allie Bishop:  “Baseball Simulation: An Insight into the Cleveland Indians”
  2. Yaqin Deng:  “A simulation and Comparison of Parametric and Nonparametric Bootstrap Methods on Time Series Data”
  3. Yuxing Hou:  “Sequential Monte Carlo Methods and some of their Applications”
  4. Dirk Hugen:  “Replication of Ang and Bekaert’s:  How Regimes Affect Asset Allocation”
  5. Zhijiang (Van) Liu:  “Spatial AR Model on Household Dental Expenditure Based on Alternative Distance”
  6. Michael Mitsche:  “The Elephant of Big Data”
  7. Anna Pritchard: “An Investigation of Dichotomous-Response Classification Methods”
  8. Jinbo Qi: “Pathwise Expectation-Maximization Algorithm” 
  9. Charlie Rowe:  “Tony Gwynn's Unfinished Quest to Bat .400”
  10. Bo Wang:  “An Application of the Composite Bridge Penalized Regression Algorithm to Linear Regression with Structural Changes”
  11. Sheng Wang:  “Estimating Brood-specific Reproductive Inhibition Potency In Aquatic Toxicity Testing when A Toxicant Affects Both fecundity and Survival Of Organisms”
  12. Fuli Zhang: “Outlier Detection in Time Series via Penalized Likelihood Method”

2014

  1. Data Analysis using Regression Trees by Yaqing Duan
  2. An Data-Augmentation Approach to Approximate Maximum Likelihood Function by Chao Fan
  3. Explore the Robustness of the Median Probability Model to Model Misspecification  by Weichen Gao
  4. Pairing Time-Series for Treatment/Control Selection by Riad Jarjour
  5. A Paper Review: Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions by Stephanie Kommes
  6. Efficiency of MCMC Sampling from a Multilevel Probit Regression on Polling Data by Stephanie Kriewall
  7. Optimal Sampling Designs for Finite Population Block Kriging in Two-Dimensions and Stream Networks by Andrew Meng
  8. Comparison of Variable Selection Methods for High Correlation Data by Menghan Li
  9. False Discovery Rates Under Conditions of Dependence by Samuel Lifton
  10. User Perceptions of Sound in Simple Linear Regression Diagnostics by Jessica Orth
  11. Predicting County-Level Results in the 2012 Presidential Election: Is the South Different by Owen Robinson
  12. Local Polynomial Estimation for Time Series Data by Li Zhang
  13. A Comparison Between Regression Estimator and Horvitz–Thompson Estimator using Faculty Survey Data-set  by Yichi Zhang

2013

  1. Identification of Risk Factors for Targeted Screening of Depressive Symptoms by Sarah Bell
  2. Bayesian Model Comparison for Binary Time Series: Interesting Simulation and Possible Explanation by Elizabeth Brokken
  3. Decisions for Implementing Factor Analysis Explored through an Empirical Data Set by Sean Callister
  4. Application of the SIMEX Algorithm on Spatial Point Patterns by Juan Cervantes
  5. Comparison of the Lasso and Minimax Concave Penalty Approaches to Fitting Models by Vikas Choudhary
  6. Comparing Priors for Bayesian variable Selection by Andrew Ghattas
  7. A review of robust parameter design illustrated by an experiment with paper helicopters by Chandler Minner
  8. Simulation study on the bounds for the bias of the empirical CTE by Seong Hee Ryu
  9. Ornament Plots: A Step Forward in Data Representation by Alex Sawyer
  10. Support Vector Machine and Some Applications by Congrui Yi
  11. Variable Selection Using Lasso and Elastic Net by Yinan Yu

2012

  1. Regression analysis with censored response data with the EM algorithm by Jingxiang Chen
  2. Correcting for cross-sectional and time-series dependence by Silver Chung
  3. Paper review: "Sure independence screening for ultra-high dimensional feature space" written by J. Fan and J.lv (2008) by Kyung Yong Kim
  4. An investigation of intrinsic Gaussian Markov random field models with application to satellite image data by Feiran Jiao
  5. Propensity score matching methods in observational studies by Habib Kousse
  6. Comparing two methods in modeling threshold autoregressive processes by Shan Li
  7. Variable selection with stepwise methods in the presence of multicollinearity by Huan-Hsun Lin
  8. Multiparameter estimation for normal models by Cong Liu
  9. A review of response surface methods with a practical example by Barbara Monaco
  10. On classes of distributions that admit minimal & maximal members with respect to convex ordering by Harsimran Somal
  11. Continuous wavelet analysis of time series data by John Tiong
  12. Multiple imputation for missing data: Comparison of SAS and R methods by Jing Wang