2023 | Tejasv Bedi | Qiwei Li | BAYESIAN MODEL BASED CLUSTER ANALYSIS AND ITS APPLICATIONS IN EPIDEMIOLOGY & MICROBIOLOGY |
2023 | Huan Chen | Chuan-Fa Tang | RISK-ASSOCIATED INFERENCES IN SURVIVAL ANALYSIS: A STUDY ON ADEQUACY OF THE COX MODEL AND ISOTONIC PROPORTIONAL HAZARD MODELS |
2023 | Kevin Lutz | Qiwei Li | BAYESIAN STATISTICAL METHODS FOR URINARY MICROBIOME DATA ANALYSIS |
2023 | Ying Chen | Chuan-Fa Tang | Regularized Estimation for Semi-parametric Multivariate Accelerated Failure Time Model Under Non-Randomized Design |
2023 | Lakshika Ruberu | Swati Biswas | SOME CONTRIBUTIONS TO THE RISK PREDICTION OF HEREDITARY BREAST CANCER AND SUBSTANCE USE DISORDERS |
2022 | Dhanushka Rajapaksha | Swati Biswas and Pankaj Choudhary | Risk Prediction Models for Substance Use Disorders |
2022 | Norah Alyabs | Sy Han Chiou | Comparing Practical Approaches for Regression Models with Censored Covariates |
2022 | Qi Guo | Sy Han Chiou | Testing quasi-independence with survival tree approaches |
2022 | Tian Jiang | Sam Efromovich | Nonparametric Regression with the Scale Depending on Auxiliary Covariates and Missing Data |
2021 | Galappaththige Sajith de Silva | Pankaj Choudhary | Contributions to Functional Data Analysis |
2021 | Jiaju Wu | Sam Efromovich | Efficient Nonparametric Spectral Density Estimation with Randomly Censored Time Series |
2021 | Qinyi Zhou | Sunyoung Shin and Min Chen | SOME METHODS AND APPLICATIONS OF LARGE-SCALE GENOMIC DATA ANALYSIS |
2020 | Akash Roy | Frank Konietschke | THE NONPARAMETRIC BEHRENS-FISHER PROBLEM WITH DEPENDENT REPLICATES |
2020 | Cong Zhang | Min Chen and Michael Zhang | TRACKING DISSEMINATION OF PLASMIDS IN THE MURINE GUT USING HI-C SEQUENCING & BAYESIAN LANDMARK-BASED SHAPE ANALYSIS OF TUMOR PATHOLOGY IMAGES |
2020 | Dipnil Chakraborty | Sam Efromovich | NONPARAMETRIC REGRESSION FOR RESPONSES MISSING NOT AT RANDOM |
2020 | Dorcas Ofori-Boateng | Yulia Gel | FROM SINGLE TO MULTILAYER NETWORKS: UNDERSTANDING NETWORK FUNCTIONALITY THROUGH A TOPOLOGICAL PERSPECTIVE |
2020 | Kalupahana Gunawardana | Frank Konietschke | NONPARAMETRIC MULTIPLE COMPARISONS AND SIMULTANEOUS CONFIDENCE INTERVALS FOR GENERAL MULTIVARIATE FACTORIAL DESIGNS |
2020 | Marwah Soliman | Yulia Gel | QUANTIFYING ENVIRONMENTAL RISKS USING A FUSION OF STATISTICAL AND MACHINE LEARNING METHODS |
2020 | Mohammad Shaha Alam Patwary | Pankaj Choudhary | ESTIMATION OF COVARIANCE STRUCTURES IN FUNCTIONAL MIXED MODELS WITH APPLICATION TO HERITABILITY ESTIMATION |
2020 | Xiaochen Yuan | Swati Biswas | BIVARIATE LOGISTIC BAYESIAN LASSO FOR DETECTING RARE HAPLOTYPE ASSOCIATION WITH TWO CORRELATED PHENOTYPES |
2020 | Yashi Bu | Min Chen | A BAYESIAN MODELING FOR PAIRED DATA IN GENOME-WIDE ASSOCIATION STUDIES WITH APPLICATION TO BREAST CANCER |
2020 | Yu Zhang | Min Chen and Michael Zhang | ESTIMATING DISTRIBUTIONS OF DELETION MUTATIONS AMONG BACTERIAL POPULATIONS AND GRAPHICAL MODELING OF MULTIPLE BIOLOGICAL PATHWAYS IN GENOME-WIDE ASSOCIATION STUDIES |
2019 | Asim Dey | Yulia Gel | ROLE OF LOCAL GEOMETRY IN RESILIENCE AND FUNCTIONS OF COMPLEX NETWORKS |
2019 | Cong Cao | Frank Konietschke | The Behrens-Fisher Problem in General Factorial Design with Covariates |
2019 | Dongfang Zhang | Min Chen | Weighted Least-Squares Semiparametric Accelerated Failure Time Model with Generalized Estimating Equation |
2019 | Umar Islambekov | Yulia Gel | UTILITY OF BETTI SEQUENCES AS PERSISTENT HOMOLOGY-BASED TOPOLOGICAL DESCRIPTORS IN APPLICATION TO INFERENCE FOR SPACE-TIME PROCESSES AND TIME SERIES OF COMPLEX NETWORKS |
2018 | Chowdhury, Marzana | Swati Biswas and Pankaj Choudhary | Prediction of Individualized Risk of Contralateral Breast Cancer (Won the Best Dissertation Award of the School for Natural Sciences and Mathematics for 2017-18) |
2018 | Francis Bilson-Darku | Bhargab Chattopadhyay and Frank Konietschke | Study on Parameter Estimation via Multistage Sampling with Applications |
2018 | Jiayi Wu | Sam Efromovich | Wavelet Analysis of Big Data Contaminated by Large Noise in an FMRI Study of Neuroplasticity |
2018 | Lak N. K. Rankothgedara | Pankaj Choudhary | Contributions to Modeling and Analysis of Method Comparison Data |
2018 | Lei Zhang | Swati Biswas | A Unified Bayesian Hierarchical Framework for Pathway Analysis in Genome-Wide Association Studies |
2018 | Xin Huang | Yulia Gel | Robust Analysis of Non-Parametric Space-Time Clustering |
2017 | Cheng Wang | Qiongxia Song | Extensions of Semiparametric Single Index Models |
2017 | Yahui Tian | Yulia Gel | Nonparametric and Robust Methods for Community Detection in Complex Networks |
2016 | Ananda Datta | Swati Biswas | Detecting Rare Haplotype Disease Association: Comparison of Existing Population-Based Methods and a New Family-Based Quantitative Bayesian Lasso Method |
2016 | Cesar A. J. Acosta-Mejia | Michael Baron | Pseudolikelihood Methods in Multichannel Change-Point Detection |
2016 | Jufen Chu | Sam Efromovich | Nonparametric Hazard Rate Estimation with Left Truncated and Right Censored Data |
2016 | Lasitha Rathnayake | Pankaj Choudhary | Modeling and Analysis of Functional and Longitudinal Data with Biomedical Applications |
2016 | Yuan Zhang | Swati Biswas | Detecting 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) |
2016 | Yujing Cao | Min Chen | Graphical Modeling of Biological Pathways in Genomic Studies |
2016 | Yunfei Wang | Robert Serfling | Connections Among Multivariate Rank Functions, Depth Functions, and Sign and Signed-Rank Statistics |
2015 | Ming Chen | Qiongxia Song | High Dimensional and Functional Time Series Analysis with Applications in Finance |
2015 | Shanshan Wang | Robert Serfling | Masking and Swamping Robustness of Outlier Detection Procedures |
2015 | Tian Zhao | Michael Baron | Multiple Comparisons in Truncated Group Sequential Experiments with Applications in Clinical Trials |
2015 | Tiansong Wang | Michael Baron | Multi-Sensor Changepoint Detection |
2015 | Uditha Wijesuriya | Robert Serfling | Exploratory Nonparametric Functional Data Analysis Using the Spatial Depth Approach |
2014 | Bo Hong | Larry Ammann | Variable Selection for Cluster and Mixture Models |
2014 | Ekaterina Smirnova | Sam Efromovich | Large Cross-Covariance Matrix Estimation with Applications to FMRI Data |
2014 | Lakshika Nawarathna | Pankaj Choudhary | Heteroscedastic Models for Method Comparison Data |
2014 | Marcel Carcea | Robert Serfling | Contributions to Time Series Modeling Under Lower Order Moment Assumptions |
2012 | Dishari Sengupta | Pankaj Choudhary | A Robust Linear Mixed Effects Model with Application to Method Comparison Studies |
2012 | Gerald Ogola | Robert Serfling | Statistical Methods for the Interpretation of Prostate Cancer Biopsy Results (Won 2nd place in the 2012 Conference of Texas Statisticians Graduate Student Poster Competition) |
2012 | Houssein Assaad | Pankaj Choudhary | L-Estimation with Repeated Measurements Data |
2012 | Rui Xu | Michael Baron | Sequential Analysis of Credibility and Actuarial Risks |
2012 | Seoweon Jin | Sam Efromovich | Nonparametric Confidence Bands for Regression Curves |
2012 | Shyamal De | Michael Baron | Simultaneous Testing of Multiple Hypotheses in Sequential Experiments (Won 1st place in the 2012 Conference of Texas Statisticians Graduate Student Poster Competition) |
2010 | Jorge Villa-Carillo | Larry Ammann | Topological Overlap Measure of Similarity |
2010 | Ke Chen | Sam Efromovich | Density Estimation of Randomly Right Censored Data |
2010 | Satyaki Mazumder | Robert Serfling | Affine Invariant, Robust, and Computationally Easy Multivariate Outlier Identification and Related Methods (Won the 2010 President David Daniel Excellent Dissertation Award) |
2010 | Shahla Ramachandar | Larry Ammann | Pre-Processing Methods and Stepwise Variable Selection for Binary Classification of High-Dimensional Data |
2010 | Xian Yu | Michael Baron and Pankaj Choudhary | Sequential Change-Point Analysis of Markov Chains with Application to Fast Detection of Epidemic Trends |
2010 | Yi Zhong | Michael Baron | Optimization of Error Spending and Power Spending in Sequentially Planned Statistical Experiments |
2010 | Zibonele Valdez-Jasso | Sam Efromovich | Aggregated Wavelet Estimation with Applications |
2009 | Xuan Chen | Michael Baron | Change-Point Analysis of Survival Data with Application in Clinical Trials |
2007 | Indra Kshattry | Larry Ammann | Modeling Arsenic in the Wells of Nepal |
2007 | Kunshan Yin | Pankaj Choudhary | A Bayesian Paradigm for Method Comparison Studies |
2006 | Jingsi Xia | Michael Baron | Optimal Sequentially Planned Change-Point Detection Procedures |
2006 | Peng Xiao | Robert Serfling | Contributions to Multivariate L-Moments: L-Comoment Matrices |
2006 | Sumihiro Suzuki | Michael Baron | Constructive Methodologies of Optimal Sequential Plans |
2005 | Hanzhe Zheng | Larry Ammann | Asymptotic Distributions of Similarity Coefficients and Similarity Tests |
2005 | Weihua Zhou | Robert Serfling | Multivariate Spatial U-Quantiles: Theory and Applications |
2005 | Xin Dang | Robert Serfling | Nonparametric Multivariate Outlier Detection Methods, with Applications |
2003 | Claudia Schmegner | Michael Baron | Decision Theoretic Results for Sequentially Planned Statistical Procedures |
2003 | Jin Wang | Robert Serfling | On Nonparametric Multivariate Scale, Kurtosis, and Tailweight Measures |
2002 | Ryan Gill | Michael Baron | Introduction to Generalized Broken Line Regressio |
2000 | Filemon Ramirez-Perez | Robert Serfling | Contributions to Shot Noise on Cluster Processes with Cluster Marks |
2000 | Zhenwu Chen | Robert Serfling | Trimmed and Winsorized M- and Z-Estimators, with Applications to Robust Estimation in Neural Network Models |
1999 | Vytaras Brazauskas | Robert Serfling | Robust and Nonparametric Methods for Pareto Tail Index Estimation, with Actuarial Science Applications |
1998 | Yijun Zuo | Robert Serfling | Contributions to Theory and Applications of Statistical Depth Functions |