Statistics PhD Alumni | Department of Statistics

The Department of Statistics at the University of Illinois Urbana-Champaign proudly recognizes the accomplishments of our PhD alumni, whose contributions have advanced the field of statistics in meaningful ways. Since the department's inception in 1985, our graduates have excelled in academia, industry, and beyond, shaping the future of data science and quantitative research. This comprehensive directory features each alumnus' most current known occupation, employer, dissertation title, and advisor, with links to select dissertations where available.

In addition to our graduates, we also recognize honorary alumni, including the renowned statistician David H. Blackwell, whose groundbreaking work and influence have left an enduring legacy. We invite you to explore the accomplishments of our PhD alumni, whose work continues to shape the future of statistics.

Statistics Doctoral Degree Recipients 2021-Present

Name	Year	Occupation & Employer	Advisor	Dissertation Title
Chakrabarty, Sayan	2024		Yuguo Chen	Computationally efficient methods for large networks via subsampling
Chen, Zhe	2024		Ruoqing Zhu	Selected Topics on Design-Based Causal Inference
Gao, Hanjia	2024		Xiaofeng Shao	Nonparametric Testing in Modern Statistics: A Personal Journey
Garett, Robert	2024		Bo Li	Methods for Comparison and Analysis of Spatiotemporal Fields
Liu, Ying	2024		Steven Culpepper
Qian, Christopher	2024		Bo Li	Uncertainty Quantification in Machine Learning with Bayesian Models
Xu, Tianning	2024		Ruoqing Zhu	Statistical Uncertainty Quantification for Machine Learning Models and Training Acceleration for Graph Neural Networks
Yan, Shen	2024		Daniel Eck
Yao, Rentian	2024		Yun Yang	Optimization in the Space of Probability Distributions with Applications in Statistics
Barbehenn, Alton	2023		Sihai Dave Zhao	Problems in large-scale estimation
Campos, Mauricio	2023		Bo Li
Chaudhuri, Anamitra	2023	Postdoctoral Research Associate, Department of statistics, Texas A&M University	Georgios Fellouris	Sequential multiple testing and quickest change detection for dependent data streams
Chen, Yifan	2023	Assistant Professor, Computer Science, Hong Kong Baptist University	Yun Yang	Efficient Approximation of Matrix-Intensive Computations via Subsampling Sketches
He, Shishuang	2023		Feng Liang	Identifiability and Estimation of Mixed Membership Stochastic Blockmodels
Ojha, Abhishek	2023		Naveen Narisetty	A Conditional Bayesian Approach with Valid Inference for High-Dimensional Logistic Regression
Qu, Tianyi	2023		Xinran Li
Tang, Rong	2023	Assistant Professor, Mathematics, Hong Kong University of Science and Technology	Yun Yang	Some Advances in Bayesian Inference and Generative Modeling
Wang, Mengchen	2023	Machine Learning Engineer, Nextdoor	Bo Li & Trevor Harris	Changepoint Detection and Estimation for Spatially Indexed Functional Time Series
Warner, Austin	2023		Georgios Fellouris
Xing, Yiming	2023		Georgios Fellouris	Topics in Sequential Hypothesis Testing
Yang, Zihao	2023		Xiaofeng Shao	Exploring the Design and Analysis of Complex Experiments: Selective Randomization and Peer Influence
Yu, Albert	2023		Jeffrey Douglas
Cui, Xiang	2022	Applied Scientist, Amazon	Yuguo Chen & Alexandra Chronopoulou	Inferring influence in dynamic networks and multiple sampling for estimation of fractional Brownian motion
Formentini, Sarah	2022	Statistical Scientist, Crop Science, Bayer	Ruoqing Zhu	Survival random forests: quantifying uncertainties and other extensions
Han, Wei	2022	,	Yun Yang
Li, Ke	2022	Research Scientist, Meta	Naveen Narisetty & Yun Yang	Topics in High-Dimensional Linear Bandits and Approximate Bayesian Sampling
Loyal, Joshua	2022	Assistant Professor, Department of Statistics, Florida State University	Yuguo Chen & Ruoqing Zhu	Dimension Reduction Methods for Quantifying Local Variable Importance and the Statistical Analysis of Network Data
Tu, Robin	2022		Dave Zhao	Methylation and High Dimensional Data Integration
Xin, Huiqin	2022	Research Scientist, Meta	Dave Zhao	Simultaneous Multiparameter Estimation
Zhang, Yangfan	2022		Xiaofeng Shao & Yun Yang	Statistical inference in high dimensional data and machine learning
Zhou, Wenzhuo	2022	,	Ruoqing Zhu
Deng, Yujia	2021	Software Engineer, Meta	Annie Qu	Spatial correlation tensor and query-augmented active clustering
Harris, Trevor	2021	Assistant Professor, Department of Statistics Texas A&M University	Bo Li	Functional data methods for climatological processes
Li, Yutong	2021	Principal Biostatistician, Statistical Analytics and Methodologies Novartis Pharmaceuticals	Ruoqing Zhu	Machine learning methodologies for high dimensional biomedical & bioinformatics applications
Liu, Yan	2021	Research Scientist, Meta	Yuguo Chen	Statistical inference for complex networks
Sass, Danielle	2021	Assistant Professor of Instruction in Statistics, Department of Statistics Northwestern University	Bo Li	Spatio-temporal data modeling with applications to weather and disease
Wang, Yihe	2021	Research Scientist, Meta	Sihai Dave Zhao	Simultaneous estimation approaches to large-scale multivariate regression
Wu, Teng	2021	Data Scientist, Microsoft	Xiaofeng Shao Naveen Narisetty	Change point detection for high dimensional data and valid inference for Bayesian linear models
Yun, Sooin	2021	Visiting Associate Professor, Department of Statistics University of Illinois Urbana-Champaign	Li Bo	Evaluation of the difference between two spatiotemporal random fields
Zhou, Ruixuan	2021	Data Scientist, Waymo	Sihai Dave Zhao	Problems in high-dimensional mediation analysis

Statistics Doctoral Degree Recipients 2011-2020

Name	Year	Occupation & Employer	Advisor	Dissertation Title
Chen, Yinyin	2020	Research Scientist, Meta	Feng Liang Yun Yang	Identifiability for latent class models
Wang, Runmin	2020	Assistant Professor, Southern Methodist University Department of Statistics	Xiaofeng Shao	Statistical inference for high-dimensional data via U-statistcs
Yang, Xinming	2020	Research Scientist, Meta	Naveen Narisetty	Bayesian high dimensional modeling with group structures
Yin, Wenjing	2020	Data Scientist II, Uber San Francisco, CA	Feng Liang Naveen Narisetty	Bayesian variable selection in high dimensional censored regression models
Yu, Mengjia	2020	Senior Statistician, AbbVie Chicago, IL	Xiaohui Chen	High-dimensional change point detection for mean and location parameters
Yuan, Yubai	2020	Postdoc Researcher, Department of Statistics University of California-Irvine	Annie Qu	Approximate likelihood for dependent networks and hyperlink predictions
Zhu, Changbo	2020	Assistant Professor, University of Notre Dame	Xiaofeng Shao	Statistical inference for high-dimensional data
Biscarri, William	2019	Quantitative Researcher, J.P. Morgan	Sihai Dave Zhao Robert Brunner	Statistical methods for binomial and Gaussian sequences
Gan, Lingrui	2019	Research Scientist, Meta	Feng Liang Naveen Narisetty	Bayesian regularization for graphical models and variants: Theory and algorithms
Man, Albert	2019	Advisor - Statistics, Eli Lilly and Company	Steven Culpepper	A mode-jumping algorithm for exploratory factor analysis with continuous and binary responses
Nute, Michael	2019	Independent Consultant Postdoctoral Researcher , Self-Employed Rice University	Tandy Warnow	Statistical estimation problems in phylogenomics and applications in microbial ecology
Song, Yanglei	2019	Assistant Professor, Queen's University	Georgios Fellouris	Some topics in sequential analysis
Su, Xiao	2019	Applied Scientist, Amazon	Yuguo Chen	Variational approximation for importance sampling and statistical inference on social influence
Xue, Fei	2019	Assistant Professor, Department of Statistics Purdue University	Annie Qu	Variable selection for high-dimensional complex data
Fredrickson, Mark	2018	Lecturer, Department of Statistics University of Michigan	Yuguo Chen Jake Bowers	Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects
He, Yifeng	2018	Associate Director, Biostatistics, Blueprint Medicines	Xiaohui Chen	Inference of high-dimensional linear models with time-varying coefficients
Ouyang, Yunbo	2018	Staff Software Engineer, Machine Learning, LinkedIn	Feng Liang	Scalable sparsity structure learning using Bayesian methods
Yang, Fan	2018	Applied Scientist, Amazon	Yuguo Chen Liming Feng	Statistical inference based on characteristic functions for intractable likelihood problems
Chen, Yinghan	2017	Assistant Professor, Department of Mathematics and Statistics University of Nevada, Reno	Yuguo Chen	Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA modelSampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
Hu, Jianjun	2017	Software Engineer, Machine Learning, Pinterest	Feng Liang	Statistical methods for learning sparse features
Huang, Weihong	2017	Data Scientist, Meta	Yuguo Chen	Statistical algorithms using multisets and statistical inference of heterogeneous networks
Huang, Xichen	2017	Software Engineer, Meta	Feng Liang	Fast algorithms for Bayesian variable selection
Kinson, Christopher	2017	Teaching Assistant Professor, Department of Statistics University of Illinois	Annie Qu	Longitudinal principal components analysis for binary and continuous data
Lee, Chung Eun	2017	Associate Professor, Department of Information Systems and Statistics City University of New York	Xiaofeng Shao	Statistical inference of multivariate time series and functional data using new dependence metrics
Park, Yeon Joo	2017	Assistant Professor, Department of Management Science and Statistics University of Texas at San Antonio	Doug Simpson	Effect size estimation and robust classification for irregularly sampled functional data
Paul, Subhadeep	2017	Assistant Professor, Department of Statistics The Ohio State University	Yuguo Chen	Consistent community detection in uni-layer and multi-layer networks
Shand, Lyndsay	2017	R&D Statistician, Sandia National Laboratories	Bo Li	Methods and applications for space-time data
Tang, Xiwei	2017	Assistant Professor, Department of Statistics University of Virginia	Annie Qu	Individualized learning and integration for multi-modality data
Yao, Shun	2017	Quantitative Researcher, Point72 New York City, NY	Xiaofeng Shao	Dependence testing in high dimension
Ye, Sangbeak	2017	Assistant Professor, University of Missouri-Kansas City	Jeff Douglas	Sequential mastery detection and Bayesian learning promotion under cognitive diagnosis models
Zhu, Xiaolu	2017	Manager, Research Science, Amazon	Annie Qu	Heterogeneity modeling and longitudinal clustering
Bi, Xuan	2016	Assistant Professor, Carlson School of Management University of Minnesota	Annie Qu	Dimension reduction and efficient recommender system for large-scale complex data
Eisinger, Robert	2016	Visiting Assistant Professor, Department of Mathematics, Statistics, & Computer Science, St. Olaf College	Yuguo Chen	Sampling for conditional inference on contingency tables, multigraphs, and high dimensional tables
Sengupta, Srijan	2016	Assistant Professor, Department of Statistics Virginia Tech	Yuguo Chen	Statistical analysis of networks with community structure and bootstrap methods for big data
Wang, Jin	2016	Data Scientist, Expedia	Feng Liang	Scalable algorithms for Bayesian variable selection
Wang, Shiyu	2016	Assistant Professor, Educational Psychology University of Georgia	Jeff Douglas	Some theoretical and applied developments to support cognitive learning and adaptive testing
Shi, PeiBei	2015	Research Scientist, Facebook	Annie Qu	Weak signal identification and inference in penalized model selection
Choi, Seokwoo	2014	Visiting Assistant Professor, Department of Mathematical Sciences Michigan Technological University	Stephen Portnoy	Quantile autoregression with censored data
Dalpiaz, David	2014	Teaching Assistant Professor, Department of Statistics University of Illinois	Ping Ma	Statistical methods for modeling RNA-Seq short-read data
Gan, Lu	2014	Data Scientist, JDA Software Group, Inc	Stephen Portnoy Doug Simpson	Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement
Rho, Yeonwoo	2014	Associate Professor, Department of Mathematical Sciences Michigan Technological University	Xiaofeng Shao	Inference of time series regression models with weakly dependent error
Shu, Xinxin	2014	Senior Biostatistician, Merck	Annie Qu	Time-varying networks estimation and Chinese words segmentation
Zhang, Emma Jingfei	2014	Associate Professor, Management Science, School of Business Administration University of Miami	Yuguo Chen	Statistical inference on network data
Cho, Hyun Keun (Ryan)	2013	Assistant Professor, Department of Biostatistics University of Iowa	Annie Qu	Model selection for correlated data and moment selection from high-dimensional moment conditions
Li, Bin	2013	Staff Data Scientist, @WalmartLabs	Annie Qu	Statistical models with diverging dimensionality
Liu, Yufei (Jeffrey)	2013	Technology Associate, Thomson Reuters	Feng Liang	Statistical modeling of heterogeneous data
Zhang, Xianyang	2013	Assistant Professor, Department of Statistics Texas A&M University	Xiaofeng Shao	Statistical inference for dependent data
Bawawana, Bavwidinsi	2012	Mathematical Statistician, U.S. Census Bureau	Stephen Portnoy	Nonparametric testing for random effects in mixed effects models based on the piecewise linear interpolate of the log characteristic function
Chen, Gang	2012	Software Development Engineer, A3.com Palo Alto, CA	Douglas Simpson	Image classification and feature selection
Condon, Erin	2012	Senior Director, Product R&D, IRI Chicago, IL	Xuming He	Varying Coefficients in Logistic Regression with Applications to Marketing Research
Cui, Na	2012	Director, Biostatistics at CStone Pharmaceuticals	Yuguo Chen & Feng Liang	Contributions to modeling parasite dynamics and dimension reduction
Yun, Jong Hyun	2012	Data Scientist, Institute of Statistical Data Science Mansfield, TX	Yuguo Chen	Ensemble filtering for state space models
Feng, Yang	2011	Staff Data Scientist, Google	Yuguo Chen	Bayesian quantile linear regression
Wang, Peng	2011	Assistant Professor, University of Cincinnati	Annie Qu	Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
Xia, Jing	2011	Statistical Research Associate, Fred Hutchinson Cancer Research Center Seattle, WA	Michelle Wang	Statistical methods for fMRI data analysis
Xu, Jianfeng	2011	CEO, Shanghai Hongpu Information and Technology Company	Feng Liang	Bayesian Latent Class Models
Yang, Yunwen	2011	Data Science Manager, The Trade Desk Ventura, CA	Xuming He	Bayesian empirical likelihood for quantile regression

Statistics Doctoral Degree Recipients 2011-2020

Name	Year	Occupation & Employer	Advisor	Dissertation Title
Fan, Zhewen	2010	Senior Manager in Data Science and Machine Learning, Intuit San Diego, CA	Jeffrey Douglas Xiaofeng Shao	Statistical issues and developments in time series analysis and educational measurement
He, Zhi	2010	Quantitative Analyst, Google	Douglas Simpson	Semiparametric Inference
Hsu, Ya-Hui (Kate)	2010	Associate Director, Biostatistics, Horizon Therapeutics	Xuming He	Applications of quantile regression to estimation and detection of some tail characteristics
Kim, Ji Young	2010	Principal Statistician, Merck Pharmaceutical	Xuming He	Robust methods for analyzing multivariate responses with application to time-course data
Yang, Ji Yeon	2010	Assistant Professor , Kumoh National Institute of Technology, Korea	Xuming He	Statistical modeling of protein lysate array data
Feng, Xingdong	2009	Associate Professor School of Statistics and Management, School of Statistics and Management Shanghai University of Finance and Economics	Xuming He	Dimensionality of Data Matrices With Applications to Gene Expression Profiles
Hong, Feng	2009	Associate Director, Takeda Cambridge, MA	Xuming He	Contributions to Statistical Problems Related to Microarray Data
Lin, Guixian	2009	Principal Statistician, Abiomed	Xuming He Stephen Portnoy	Quantile Regression With Censored Data
Hong, Hyokyoung (Grace)	2008	Assistant Professor, Department of Statistics and Probability Michigan State University	Xuming He	Prediction of Conditional Quantiles in Ordinal Regression With Applications to Aging Research
Huebner, Alan	2008	Associate Teaching Professor, Department of Applied and Computational Mathematics and Statistics University of Notre Dame	Douglas Simpson	Modeling Correlated Ordinal Data: Marginal and Conditional Approaches
Li, Di	2007	Associate Director, Biostatistics, Eisai Co. Ltd.	Xuming He	Markov Chain Marginal Bootstrap for Generalized Estimating Equations
Liu, Heng	2007	Senior Quantitative Analyst, Google Inc,	Douglas Simpson	Bicriterion Clustering and Selecting the Optimal Number of Clusters via Agreement Measure
Gao, Bing	2006	Biostatistician, Amgen	Hernando Ombao	Clustering Analysis for Non-Stationary Time Series
Li, Xiaodong	2006	Biostatistician, Merck	Jeffrey Douglas	Methods and Theory for Joint Estimation of Incidental and Structural Parameters in Latent Class Models
Noe, Doug	2006	Assistant Professor, Department of Mathematics and Statistics Miami University	Xuming He	Partially Bayesian Variable Selection in Classification Trees
Wang, Huixia (Judy)	2006	Associate Professor, Department of Statistics George Washington University	Xuming He	Inference on Quantile Regression for Mixed Models With Applications to GeneChip Data
Yang, Yan	2006	VP, Quantitative Analysis, Bank of America	Douglas Simpson	Marginal Mixture Analysis of Correlated Bounded -Response Data
Choi, Hyunyoung	2005	Director, Data Science, BrightRoll	Hernando Ombao	Topics in Nonstationary Time Series
Mu, Yunming	2005	Biostatistician, Genentech	Xuming He	Power Transformation Towards Linear or Partially Linear Quantile Regression Models
Neocleous, Tereza	2005	Senior Lecturer, Department of Statistics University of Glasgow	Stephen Portnoy	A Partly Linear Model for Censored Regression Quantiles
Zhou, Jianhui	2005	Associate Professor, Department of Statistics University of Virginia	Xuming He	Robust and Constrained Dimension Reduction
Zhou, Tianyue	2005	Director of Biostatistics, Sanofi-Aventis	Xuming He	Linear Mixed Models With Non-Normal Distributions
Georgescu, Constantin	2004	,	Stephen Portnoy	Finite Population Quantile Estimators
Wei, Ying	2004	Vice Chair of Research, Department of Biostatistics Columbia University	Xuming He	Longitudinal Growth Charts Based on Semi-Parametric Quantile Regression
Xu, Xueli	2004	, Educational Testing Services (ETS)	Jeffrey Douglas	Computerized Adaptive Testing and Equating Methods With Nonparametric IRT Models
Lin, Nan	2003	Professor, Department of Mathematics Washington University, St. Louis, MO.	Xuming He	Three Statistical Problems With Imprecisely or Incompletely Observed Data
Kim, Mi-Ok	2003	,	Xuming He	Quantile Regression in a Varying Coefficient Model
Kocherginsky, Maria	2003	,	Xuming He	Extensions of Markov Chain Marginal Bootstrap
Hartz, Sarah	2002	Associate Professor, Department of Psychiatry Washington University School of Medicine	William Stout	A Bayesian Framework for the Unified Model for Assessing Cognitive Abilities: Blending Theory With Practicality
No 2001 Degree Recipients

Statistics Doctoral Degree Recipients 1991-2000

Name	Year	Occupation & Employer	Advsor	Dissertations
Froelich, Amy Goodwin	2000	Associate Professor, Department of Statistics Iowa State University	William Stout	Assessing Unidimensionality of Test Items and Some Asymptotics of Parametric Item Response Theory
Fu, Limin	2000	Director, Prepayment and Credit Risk Modeling, Indymac Bank	Douglas Simpson	Unified Ordinal Regression: Model Assessment and Semiparametric Analysis
Galfalvy, Hanga	2000	Associate Professor of Biostatistics, Columbia University	Douglas Simpson	Censored Regression Models With Applications to Infrastructure Degradation Studies
Liu, Li	2000	Biometrics and Data Management, Sanofi-Aventis	Xuming He	Building a Nonparametric Model After Dimension Reduction
Trachtenberg, Felicia Lynn	2000	Statistician, New England Research Institute	Xuming He	Contributions to Estimation in Item Response Theory
Gao, Yonghong	1999	Staff Fellow, U.S. Department of Health and Human Services	John Marden	Rank-Based Procedures for Some Multivariate Problems
Habing, Brian	1998	Associate Professor, Department of Statistics University of South Carolina	William Stout	Some Issues in Weak Local Independence in Item Response Theory
Gao, Furong	1997	, CTB/McGraw Hill	William Stout	DIMTEST Enhancements and Some Parametric IRT Asymptotics
Chen, Huann-Sheng	1996	Mathematical Statistician and Program Director, Statistical Methodology and Applications Branch National Cancer Institute	Douglas Simpson	Estimation in random field models for noisy spatial data
Ge, Nanxiang (Sean)	1996	Senior Director, Biostatistics, Daiichi Sankyo Pharma Development	Douglas Simpson	Contributions to classification and calibration with high-dimensional data
Jiang, Hai	1996	Senior Director, Biostatistics, Novartis Pharmaceuticals Corp.	William Stout	Applications of computational statistics in cognitive diagnosis and IRT modeling
Tsukahara, Hideatsu	1996	Professor, Department of Economics Seijo University, Tokyo	Ditlev Monrad	Weak convergence and the prediction process
Wu, Hongsheng	1996	, Health Decisions, Inc	William Stout	Some issues in item response theory
Xie, Minge	1996	Professor, Department of Statistics Rutgers University	Douglas Simpson	Regression modeling: Latent structure, theories and algorithms
Zhang, Jinming	1996	Professor, Department of Educational Psychology, Statistics University of Illinois Urbana-Champaign	William Stout	Some fundamental issues in item response theory with applications
Choi, Kyungmee	1995	, College of Science and Technology Hongik University, Jochiwon, Korea	John Marden	Nonparametric multivariate multisample tests of the location problem and multivariate regression based on directions of data
Jeffrey, Douglas	1995	Professor, Department of Statistics University of Illinois Urbana-Champaign	William Stout	Theory and applications of nonparametric regression in item response theory
Li, Hsin-Hung	1995	Associate Professor, Department of Mathematics National Chunghua University of Education, Chunghua, Taiwan	William Stout	New nonparametric statistical procedures for analyzing bias/DIF and dimensionality in item response data
Xu, Yi	1995	, Agouron Pharmaceuticals, Inc.	Adam Martinsek	Sequential confidence bands for densities
Zhao, Quanshui	1995	Director, Citigroup	Stephen Portnoy	Estimation and inference for conditionally heteroscedastic models
Zhou, Kenneth Qing	1995	,	Stephen Portnoy	Quantile regression and survival analysis
Kim, Hae-Rim	1994	,	William Stout	New techniques for the dimensionality assessment of standardized test data
Kundu, Subrata	1994	Associate Professor, Department of Statistics George Washington University	Adam Martinsek	Some topics in sequential density estimation
Shen, Liji	1994	Director, Sanofi-Aventis	Stephen Portnoy	Some topics on robust nonparametric regression and regression quantiles
Raghavan, Nandini	1993	Pharmaceutical Research and Development, Johnson & Johnson	Dennis Cox	Bayesian Inference in Nonparametric Logistic Regression
Lai, Kunjung	1993	Associate Professor, Department of Statistics Feng-Chia University, Taichung, Taiwan	Ziliang Ying	On Logistic Regression Approach to Survival Data and Power Divergence Statistics for Life Tables
Muyot, Maria	1993	,	John Marden	The use of rank tests in analysis of variance
Huang, Bidan	1992	Director, Immunology, AbbVie	Jerome Sacks	Design, estimation, and prediction of computer experiments with applications to spatial data
Chang, Hua-Hua	1992	Charles R. Hicks Chair Professor, Professor of Statistics, Educational Psychology & Research Methodology Purdue University	William Stout	Some theoretical and applied results concerning item response theory model estimation
Amarasinghe, Upali	1991	, International Water Management Institute	Dennis Cox	Comparison of several curves in the context of nonparametric regression
Chang, Yuan-Chin (Ivan)	1991	Associate Research Fellow, Institute of Statistical Science Academia Sinica, Taiwan	Adam Martinsek	Some sequential estimation problems in logistic regression models
Chang, Yue-Fang	1991	,	Dennis Cox	Recursive methods for statistical prediction with applications
Park, Jeong-Soo	1991	, Department of Statistics, Info-Telecomm Research Institute Chonnam National University, Kwangju, South Korea	Dennis Cox	Tuning complex computer codes to data and optimal designs

Statistics Doctoral Degree Recipients 1985-1990

Name	Year	Occupation & Employer	Advisor	Dissertation Title
Guo, Sha-Lin	1990	, Ta Hwa Institute of Technology Hsinchu, Taiwan	Douglas Simpson	Inferences on high-dimensional data
Kim, Tae Yoon	1990	Professor, Department of Statistics Keimyung University, Taegu, Korea	Dennis Cox	Optimal bandwidth selection rule for kernel regression estimator with dependent variables
Lee, Albert Fu-Yuan	1990	Senior Statistician, Cerner Health Insights, Cerner Corporation	John Marden	Complete classes of two-stage estimation procedures for certain finite sample problems
Navarro, Mercidita	1990	Senior Statistician, Roche Global Development	Adam Martinsek	Sequential estimation of quantiles and adaptive sequential estimation of location and scale parameters
Sheu, Chyong-Hwa	1990	, Department of Mathematics Harold Washington College	Andrew Barron	Density estimation with Kullback-Leibler loss
Abu-Dayyeh, Walid Ahmad	1989	,	John Marden	Bahadur exact slope, Pitman efficiency, and local power for combining independent tests
Chung, Lyinn	1989	Associate Professor, Department of Statistics National Taipei University, Taipei, Taiwan	John Marden	The use of nonnull models for ranks in nonparametric statistics
Clarke, Bertrand	1989	Professor and Chair, Department of Statistics University of Nebraska	Andrew Barron	Asymptotic cumulative risk and Bayes risk under entropy loss, with applications
He, Xuming	1989	Professor, Department of Statistics University of Michigan	Stephen Portnoy	Contributions to the theory of statistical breakdown
Shealy, Robin Todd	1989	,	William Stout	An item response theory-based statistical procedure for detecting concurrent internal bias in ability tests
Thompson, Peter	1989	Associate Professor, Department of Mathematics & Computer Science Wabash College	John Marden	Admissibility ofp-value rules
Chen, Lin-An	1988	Professor, Institute of Statistics National Chiao Tung University, Taiwan
Junker, Brian	1988	Professor, Department of Statistics Carnegie Mellon University	William Stout	Statistical Aspects of a New Latent Trait Model
Kim, Sung Lai	1987	,	Robert Wijsman	Sequential Confidence Sets With Beta-Protection in the Presence of Nuisance Parameters
Shu, Wun-Yi	1987	Associate Professor, Institute of Statistical Science National Tsing Hua University, Taiwan	Adam Martinsek	Limit Theorems for Processes and Stopping Rules in Adaptive Sequential Estimation
Zakeri, Issa F.	1987	Professor, Department of Epidemiology and Biostatistics Drexel University	Robert Awijsmon	Sequential Confidence Sets With Guaranteed Coverage Probability and Beta-Protection in Multiparameter Families
Al-Rawwash, Hussein Moh'd	1986	,	John Marden	Improving Inadmissible Hypothesis Testing Procedures in Exponential Family Statistical Models (Lrt, Pointwise Compactness, One-Sided Alternatives)
Juhlin, Kenton	1985	Principal Scientist, Biometrics and Statistical Sciences Proctor & Gamble	Robert Wijsman	Sequential and Non-Sequential Confidence Intervals With Guaranteed Coverage Probability and Beta-Protection (Estimation, Statistics, Minimaxity)

Honorary Statistics Doctoral Degree Recipients

Prior to the Department's founding in 1985: The alumni listed below earned their degrees from the Mathematics Department, with dissertation work closely aligned to statistics, which was then a division within Mathematics. They are recognized as honorary alumni of the Statistics Department for their significant contributions to the field.

Name	Year	Occupation & Employer	Advisor	Dissertation Title
Naiman, Daniel	1982	Professor/Chair Johns Hopkins University	Robert Bohrer	Optimal Simultaneous Confidence Bounds in Regression
Hooper, Peter Michael	1981	Professor University of Alberta	Robert Wijsman	Smallest Simultaneous Confidence Sets, Using Sufficiency and Invariance, With Applications to Manova and Gmanova
Ringland, James	1980	Sandia National Laboratories, Lockheed Martin Company (for US Dept. of Energy), Livermore, CA	Stephen Portnoy	Asymptotic Expansions for Studentized M-Estimators With Applications to Multiple Comparisons
Schervish, Mark John	1979	Professor/Head Department of Statistics Carnegie-Mellon University	Robert Wijsman	Some Results on Classifying an Observation Into One of Several Multivariate Normal Populations With Equal Covariance Matrices
Gaynor, John Anthony	1976	Purdue University	S.S. Jogdeo	Asymptotic Efficiencies of Selection Procedures
Bock, Mary Ellen	1974	Professor Purdue University	Robert Ash	Certain Minimax-Estimators of the Mean of a Multivariate Normal-Distribution
Hensler, Gary Lee	1974	Syracuse University	Jacob Wolfowitz	Jointly Asymptotically Efficient Non-Parametric Estimation of Regression and Scale Parameters
Perng, Shien-Sen	1974	Howard University	Robert Wijsman	Stopping Time of Invariant Sequential Probability Ratio Tests in Multivariate Analysis of Variance
Gordon, Robert David	1973	North Dakota State	S.S. Jogdeo	Monotonicity of the Power of Two-Sample Rank Tests
Abu-Salih, Muhammad Subhi Abdul-Kadir	1969		Robert Wijsman	On Termination With Probability One and Bounds On Sample Size Distribution of Sequential Probability Ratio Tests Where the Underlying Model Is an Exponential Family
Meeden, Glen Dale	1968	Professor University of Minnesota	Colin Blyth	Some Problems in Prediction Theory
Staudte, Robert George, Jr.	1968	Assoc. Prof., Sch. Stat. Sci., La Trobe University, Bundoora, VIC 3083, Australia	Colin Blyth	Invariance Theory and Sequential Estimation
Koehn, Uwe	1968	Professor/Chair Department of Statistics University of Connecticut	Robert Wijsman	Global Cross-Sections and Invariant Measures With Applications to the Densities of Maximal Invariants
Wong, Seok Pin	1967	Professor, Dept. Mathematical Sciences, Memphis SU Associate Director, Statistical Services, Alcohol and Drug Prevention Research Center, University of Memphis	Robert Wijsman	Asymptotically Optimum Properties of Certain Sequential Tests
Nelson, Wayne Bryce	1965	General Electric Research & Development	Robert Wijsman	Minimax Solution of Statistical Decision Problems by Iteration
Wirjosudirdjo, Sunardi	1962	Institute Teknologi Bandung	Donald Burkholder & Robert Wijsman	Limiting Behavior of a Sequence of Density Ratios
Singh, Rajinder	1960		Joseph Doob	Existence of Bounded Length Confidence Intervals
Wasan, Madanial Tilakchand	1960	Assistant Professor Queen's University	Joseph Doob	Sequential Estimation of a Binomial Parameter
Farrel, Roger Hamlin	1959	Professor Cornell University	Joseph Doob	Sequentially Determined Bounded Length Confidence Intervals
Katz, Morris Wolfe	1959	Professor Wayne State University, MI	Donald Burkholder	Admissible and Minimax Estimates of Parameters in Truncated Spaces
McLemore, Benjamin Henry, Jr.	1959		W.G. Madow	On Test Efficiency Against Normal Alternatives
Fend, Alvin Vincent	1956	Academic Faculty New Mexico College of Agriculture and Mechanical Arts	W.G. Madow	Unbiased Estimation and Admissibility and the Treatment of Ties in the Sign Test
Healy, William Carleton, Jr.	1955		W.G. Madow	Optimum Invariant Estimation
Nicholson, Wesley Lathrop	1955	Pacific Northwest Laboratory	W.G. Madow	Uniform Admissibility and Its Application to Classification Problems
Bey, Douglas Rudolph	1954	Associate Professor Illinois State University, Normal	W.G. Madow	Modified Discriminant Analysis of School Organizations
Blackwell, David H.	1941	Professor University of California-Berkeley	Joseph Doob	Some properties of Markoff chains