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Trellis geometry

PhD Dissertations in Statistics

Year of GraduationStudentSupervising ProfessorDissertation Title
2023Tejasv BediQiwei LiBAYESIAN MODEL BASED CLUSTER ANALYSIS AND ITS APPLICATIONS IN EPIDEMIOLOGY & MICROBIOLOGY
2023Huan ChenChuan-Fa TangRISK-ASSOCIATED INFERENCES IN SURVIVAL ANALYSIS: A STUDY ON ADEQUACY OF THE COX MODEL AND ISOTONIC PROPORTIONAL HAZARD MODELS
2023Kevin LutzQiwei LiBAYESIAN STATISTICAL METHODS FOR URINARY MICROBIOME DATA ANALYSIS
2023Ying ChenChuan-Fa TangRegularized Estimation for Semi-parametric Multivariate Accelerated Failure Time Model Under Non-Randomized Design
2023Lakshika RuberuSwati BiswasSOME CONTRIBUTIONS TO THE RISK PREDICTION OF HEREDITARY BREAST CANCER AND SUBSTANCE USE DISORDERS
2022Dhanushka RajapakshaSwati Biswas and Pankaj ChoudharyRisk Prediction Models for Substance Use Disorders
2022Norah AlyabsSy Han ChiouComparing Practical Approaches for Regression Models with Censored Covariates
2022Qi GuoSy Han ChiouTesting quasi-independence with survival tree approaches
2022Tian JiangSam EfromovichNonparametric Regression with the Scale Depending on Auxiliary Covariates and Missing Data
2021Galappaththige Sajith de SilvaPankaj ChoudharyContributions to Functional Data Analysis
2021Jiaju WuSam EfromovichEfficient Nonparametric Spectral Density Estimation with Randomly Censored Time Series
2021Qinyi ZhouSunyoung Shin and Min ChenSOME METHODS AND APPLICATIONS OF LARGE-SCALE GENOMIC DATA ANALYSIS
2020Akash RoyFrank KonietschkeTHE NONPARAMETRIC BEHRENS-FISHER PROBLEM WITH DEPENDENT REPLICATES
2020Cong ZhangMin Chen and Michael ZhangTRACKING DISSEMINATION OF PLASMIDS IN THE MURINE GUT USING HI-C SEQUENCING & BAYESIAN LANDMARK-BASED SHAPE ANALYSIS OF TUMOR PATHOLOGY IMAGES
2020Dipnil ChakrabortySam EfromovichNONPARAMETRIC REGRESSION FOR RESPONSES MISSING NOT AT RANDOM
2020Dorcas Ofori-BoatengYulia GelFROM SINGLE TO MULTILAYER NETWORKS: UNDERSTANDING NETWORK FUNCTIONALITY THROUGH A TOPOLOGICAL PERSPECTIVE
2020Kalupahana GunawardanaFrank KonietschkeNONPARAMETRIC MULTIPLE COMPARISONS AND SIMULTANEOUS CONFIDENCE INTERVALS FOR GENERAL MULTIVARIATE FACTORIAL DESIGNS
2020Marwah SolimanYulia GelQUANTIFYING ENVIRONMENTAL RISKS USING A FUSION OF STATISTICAL AND MACHINE LEARNING METHODS
2020Mohammad Shaha Alam PatwaryPankaj ChoudharyESTIMATION OF COVARIANCE STRUCTURES IN FUNCTIONAL MIXED MODELS WITH APPLICATION TO HERITABILITY ESTIMATION
2020Xiaochen YuanSwati BiswasBIVARIATE LOGISTIC BAYESIAN LASSO FOR DETECTING RARE HAPLOTYPE ASSOCIATION WITH TWO CORRELATED PHENOTYPES
2020Yashi BuMin ChenA BAYESIAN MODELING FOR PAIRED DATA IN GENOME-WIDE ASSOCIATION STUDIES WITH APPLICATION TO BREAST CANCER
2020Yu ZhangMin Chen and Michael ZhangESTIMATING DISTRIBUTIONS OF DELETION MUTATIONS AMONG BACTERIAL POPULATIONS AND GRAPHICAL MODELING OF MULTIPLE BIOLOGICAL PATHWAYS IN GENOME-WIDE ASSOCIATION STUDIES
2019Asim DeyYulia GelROLE OF LOCAL GEOMETRY IN RESILIENCE AND FUNCTIONS OF COMPLEX NETWORKS
2019Cong CaoFrank KonietschkeThe Behrens-Fisher Problem in General Factorial Design with Covariates
2019Dongfang ZhangMin ChenWeighted Least-Squares Semiparametric Accelerated Failure Time Model with Generalized Estimating Equation
2019Umar IslambekovYulia GelUTILITY OF BETTI SEQUENCES AS PERSISTENT HOMOLOGY-BASED TOPOLOGICAL DESCRIPTORS IN APPLICATION TO INFERENCE FOR SPACE-TIME PROCESSES AND TIME SERIES OF COMPLEX NETWORKS
2018Chowdhury, MarzanaSwati Biswas and Pankaj ChoudharyPrediction of Individualized Risk of Contralateral Breast Cancer (Won the Best Dissertation Award of the School for Natural Sciences and Mathematics for 2017-18)
2018Francis Bilson-DarkuBhargab Chattopadhyay and Frank KonietschkeStudy on Parameter Estimation via Multistage Sampling with Applications
2018Jiayi WuSam EfromovichWavelet Analysis of Big Data Contaminated by Large Noise in an FMRI Study of Neuroplasticity
2018Lak N. K. RankothgedaraPankaj ChoudharyContributions to Modeling and Analysis of Method Comparison Data
2018Lei ZhangSwati BiswasA Unified Bayesian Hierarchical Framework for Pathway Analysis in Genome-Wide Association Studies
2018Xin HuangYulia GelRobust Analysis of Non-Parametric Space-Time Clustering
2017Cheng WangQiongxia SongExtensions of Semiparametric Single Index Models
2017Yahui TianYulia GelNonparametric and Robust Methods for Community Detection in Complex Networks
2016Ananda DattaSwati BiswasDetecting Rare Haplotype Disease Association:  Comparison of Existing Population-Based Methods and a New Family-Based Quantitative Bayesian Lasso Method
2016Cesar A. J. Acosta-MejiaMichael BaronPseudolikelihood Methods in Multichannel Change-Point Detection
2016Jufen ChuSam EfromovichNonparametric Hazard Rate Estimation with Left Truncated and Right Censored Data
2016Lasitha RathnayakePankaj ChoudharyModeling and Analysis of Functional and Longitudinal Data with Biomedical Applications
2016Yuan ZhangSwati BiswasDetecting Rare Haplotype-Environment Interaction Under Uncertainty of Gene-Environment Independence Assumption with an Extension to Complex Sampling Data (Won the Best Dissertation Award of the School for Natural Sciences and Mathematics for 2016-17)
2016Yujing CaoMin ChenGraphical Modeling of Biological Pathways in Genomic Studies
2016Yunfei WangRobert SerflingConnections Among Multivariate Rank Functions, Depth Functions, and Sign and Signed-Rank Statistics
2015Ming ChenQiongxia SongHigh Dimensional and Functional Time Series Analysis with Applications in Finance
2015Shanshan WangRobert SerflingMasking and Swamping Robustness of Outlier Detection Procedures
2015Tian ZhaoMichael BaronMultiple Comparisons in Truncated Group Sequential Experiments with Applications in Clinical Trials
2015Tiansong WangMichael BaronMulti-Sensor Changepoint Detection
2015Uditha WijesuriyaRobert SerflingExploratory Nonparametric Functional Data Analysis Using the Spatial Depth Approach
2014Bo HongLarry AmmannVariable Selection for Cluster and Mixture Models
2014Ekaterina SmirnovaSam EfromovichLarge Cross-Covariance Matrix Estimation with Applications to FMRI Data
2014Lakshika NawarathnaPankaj ChoudharyHeteroscedastic Models for Method Comparison Data
2014Marcel CarceaRobert SerflingContributions to Time Series Modeling Under Lower Order Moment Assumptions
2012Dishari SenguptaPankaj ChoudharyA Robust Linear Mixed Effects Model with Application to Method Comparison Studies
2012Gerald OgolaRobert SerflingStatistical Methods for the Interpretation of Prostate Cancer Biopsy Results (Won 2nd place in the 2012 Conference of Texas Statisticians Graduate Student Poster Competition)
2012Houssein AssaadPankaj ChoudharyL-Estimation with Repeated Measurements Data
2012Rui XuMichael BaronSequential Analysis of Credibility and Actuarial Risks
2012Seoweon JinSam EfromovichNonparametric Confidence Bands for Regression Curves
2012Shyamal DeMichael BaronSimultaneous Testing of Multiple Hypotheses in Sequential Experiments (Won 1st place in the 2012 Conference of Texas Statisticians Graduate Student Poster Competition)
2010Jorge Villa-CarilloLarry Ammann Topological Overlap Measure of Similarity
2010Ke ChenSam EfromovichDensity Estimation of Randomly Right Censored Data
2010Satyaki MazumderRobert SerflingAffine Invariant, Robust, and Computationally Easy Multivariate Outlier Identification and Related Methods (Won the 2010 President David Daniel Excellent Dissertation Award)
2010Shahla RamachandarLarry AmmannPre-Processing Methods and Stepwise Variable Selection for Binary Classification of High-Dimensional Data
2010Xian YuMichael Baron and Pankaj ChoudharySequential Change-Point Analysis of Markov Chains with Application to Fast Detection of Epidemic Trends
2010Yi ZhongMichael BaronOptimization of Error Spending and Power Spending in Sequentially Planned Statistical Experiments
2010Zibonele Valdez-JassoSam EfromovichAggregated Wavelet Estimation with Applications
2009Xuan ChenMichael BaronChange-Point Analysis of Survival Data with Application in Clinical Trials
2007Indra KshattryLarry AmmannModeling Arsenic in the Wells of Nepal
2007Kunshan YinPankaj ChoudharyA Bayesian Paradigm for Method Comparison Studies
2006Jingsi XiaMichael BaronOptimal Sequentially Planned Change-Point Detection Procedures
2006Peng XiaoRobert SerflingContributions to Multivariate L-Moments: L-Comoment Matrices
2006Sumihiro SuzukiMichael BaronConstructive Methodologies of Optimal Sequential Plans
2005Hanzhe ZhengLarry AmmannAsymptotic Distributions of Similarity Coefficients and Similarity Tests
2005Weihua ZhouRobert SerflingMultivariate Spatial U-Quantiles: Theory and Applications
2005Xin DangRobert SerflingNonparametric Multivariate Outlier Detection Methods, with Applications
2003Claudia SchmegnerMichael BaronDecision Theoretic Results for Sequentially Planned Statistical Procedures
2003Jin WangRobert SerflingOn Nonparametric Multivariate Scale, Kurtosis, and Tailweight Measures
2002Ryan GillMichael BaronIntroduction to Generalized Broken Line Regressio
2000Filemon Ramirez-PerezRobert SerflingContributions to Shot Noise on Cluster Processes with Cluster Marks
2000Zhenwu ChenRobert Serfling Trimmed and Winsorized M- and Z-Estimators, with Applications to Robust Estimation in Neural Network Models
1999Vytaras BrazauskasRobert SerflingRobust and Nonparametric Methods for Pareto Tail Index Estimation, with Actuarial Science Applications
1998Yijun ZuoRobert SerflingContributions to Theory and Applications of Statistical Depth Functions