Ph.D. Dissertations: Academic Year 1998-1999 to Present

List of doctoral graduates, their dissertations, and their advisors.
Title	Ph.D. Student	Advisor	Academic Year
Policy Evaluation in Statistical Reinforcement Learning	Ramprasad, Pratik	Qifan Song & Wei Sun	2022-2023
A Graybox Defense Through Bootstrapping Deep Neural Network	Sullivan, Kirsen	Bowei Xi	2022-2023
Adaptive Sampling Methods for Stochastic Optimization	Vasquez, Daniel	Raghu Pasupathy	2022-2023
Exact Markov Chain Monte Carlo for a Class of Diffusions	Wang,Qi	Vinayak Rao	2022-2023
Statistical Theory for Adversarial Robustness in Machine Learning	Xing, Yue	Qifan Song & Guang Cheng	2022-2023
Adaptive Stochastic Gradient MCMC in Dynamic Learning and Network Embedding	Dong, Tianning	Faming Liang	2022-2023
Adaptive Stochastic Gradient MCMC for Deep Learning: GAN, Fiducial, and Causal Inference	Kim, Sehwan	Faming Liang	2022-2023
Bayesian Graphical Models: GGMs and Beyond	KN, Ksheera Sagar	Anindya Bhadra	2022-2023
Interpretable Natural Language processing models with deep hierarchical structures and effective statistical training	Luo, Zhaoxin	Michael Y. Zhu	2022-2023
Retrospective Approximation for Smooth Stochastic Optimization	Newton, David	Raghu Pasupathy	2022-2023
Towards Robust and Interpretable Graph and Image Representation Learning	Shu, Juan	Bowei Xi	2022-2023
A Systematic Study of Sparse Deep Learning with Different Penalties	Tao, Xinlin	Faming Liang	2022-2023
Generative Image-to-image Regression Based on Score Matching Models	Xin, Hao	Michael Y. Zhu	2022-2023
Toward a Theory of Auto-Modeling	Jiang, Yiran	Chuanhai Liu	2022-2023
Risk Interpretation of DP and its applications	Liang, Jiajun	Qifan Song	2022-2023
Generative models with marginal constraints	Tang, Bingjing	Vinayak Rao	2022-2023
Pragmatic Statistical Approaches for Causal Inference, Power Analysis, and Biomarker Detection	Wu, Fan	Bowei Xi	2022-2023
Sparse Deep Learning and Stochastic Neural Network	Sun, Yan	Faming Liang	2021-2022
Expeditious Causal Inference for Big Observational Data via Distributed Design and Designed Bootstrap	Zhang, Yumin	Arman Sabbaghi	2021-2022
Bridging the gap between human and computer vision: Adversarial and manifold learning for high-dimensional data	Kim, Jungeum	Xiao Wang	2021-2022
LB-CNN and HD-OC Deep Learning Adaptable Binarization Tools for Large Scale Image Classification	Reese, Tim	Michael Zhu	2021-2022
Faster Matrix Algorithms via Randomized Sketching & Preconditioning	Agniva Chowdhury	Hao Zhang and Petros Drineas	2021-2022
Deep Learning for Statistical Data Analysis: dimension Reduction and Causal Structure Inference	Siqi Liang	Faming Liang	2021-2022
Statistical Design for Sequential Decision Making Algorithms	Chi-Hua Wang	Qifan Song and Guang Cheng	2021-2022
Model-based Approach for Determining Optimal Dynamic Treatment Regimes	Bing Yu	Bruce Craig and Michael Y. Zhu	2021-2022
Distributed Bootstrap for Massive Data	Yang Yu	Guang Cheng	2021-2022
A Tale of Two Applications: Closed-Loop Quality Control for 3D Printing, and Multiple Imputation and the Bootstrap for the Analysis of Big Data with Missingness	Wenbin Zhu	Arman Sabbaghi	2021-2022
Complications In Clinical Trials: Bayesian Models For Repeated Measures And Simulators For Nonadherence	Ahmad Hakeem Abdul Wahab	Arman Sabbaghi	2020-2021
Variational Inference with Theoretical Guarantees	Jincheng Bai	Guang Cheng and Qifan Song	2020-2021
Distributed Nearest Neighbor Classification with Applications to Crowdsourcing	Jiexin Duan	Guang Cheng	2020-2021
A Bayesian Semiparametric Approach to Estimating a Bacterium’s Wild-Type Distribution and Prevalence: Accounting for Contamination and Measurement Error	Will Eagan	Bruce Craig	2020-2021
Adversarial Learning on Robustness and Generative Models	Qingyi Gao	Xiao Wang and Hyonho Chun	2020-2021
Nonparametric Perspective of Deep Learning	Tianyang Hu	Guang Cheng	2020-2021
Estimation and Uncertainty Quantification in Tensor Completion with Side Information	Hilda Ibriga	Bruce Craig and Wei Sun	2020-2021
A Novel Framework for Invariant Neural Networks Applied to Graph and Set Data	Ryan Murphy	Vinayak Rao and Bruno Ribeiro	2020-2021
Multi-Factor Designed Experiments for Computational Performance Measurement & Analysis (CPM&A) of Parallel Distributed Big Data Systems and Spamhaus Blacklisted Data Analysis	Yuying Song	William S. Cleveland	2020-2021
Nonparametric Bayesian Clustering under Structural Restrictions	Hanxi Sun	Vinayak Rao	2020-2021
Stochastic Process Limits for Topological Functionals of Geometric Complexes	Andrew Thomas	Takashi Owada	2020-2021
On Space-Time Matern-Cauchy Covariance Functions	Zizhuang Wu	Hao Zhang and Tonglin Zhang	2020-2021
Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Systems	Peiyi Zhang	Faming Liang	2020-2021
Combinatorial Methods for Counting Pattern Occurrences in a Markovian Text	Yucong Zhang	Mark Daniel Ward	2020-2021
Contributions to Rough Paths and Stochastic PDEs	Prakash Chakraborty	Kiseop Lee, Samy Tindel	2019-2020
Inferential GANs and Deep Feature selection with applications	Yao Chen	Xiao Wang	2019-2020
Enhancing Multi-model Inference with Natural Selection	Ching-Wei Cheng	Guang Cheng	2019-2020
On the Interplay Between Statistical Concepts and Computational Models in Omics Applications	Emery Goossens	Rebecca W. Doerge	2019-2020
Statistical Guarantee for Non-convex Optimization	Botao Hao	Guang Cheng	2019-2020
Hypothesis Testing and Community Detection on Networks with Missingness and Block Structure	Guilherme Maia Rodrigues Gomes	Jennifer Neville, Vinayak Rao	2019-2020
Handling Complexity Via Statistical Methods	Evidence Matangi	George McCabe, Nilupa Gunaratna	2019-2020
A Mixed Effects Multinomial Logistic-Normal Model for Forecasting Baseball Performance	Eric Gerber	Bruce Craig	2018-2019
Dismembering the Multi-Armed Bandit	Timothy Keaton	Arman Sabbaghi	2018-2019
Nonparametric Mixture Modeling on Constrained Spaces	Putu Ayu Sudyanti	Vinayak Rao	2018-2019
Understanding Deep Neural Networks and Other Nonparametric Methods in Machine Learning	Yixi Xu	Xiao Wang	2018-2019
Statistical Learning and Model Criticism for Networks and Point Processes	Jiasen Yang	Jennifer Neville	2018-2019
Statistical Learning of Proteomics Data and Global Testing for Data with Correlations	Donglai Chen	Jun Xie	2018-2019
Interpretable Machine Learning for Additive Manufacturing	Raquel De Souza Borges Ferreira	Arman Sabbaghi	2018-2019
A Study of the Prediction Performance and Multivariate Extensions of the Horseshoe Estimator	Yunfan Li	Anindya Bhadra, Bruce Craig	2018-2019
Imbalanced High Dimensional Classification and Applications in Precision Medicine	Hui Sun	Bruce Craig, Lingsong Zhang	2018-2019
Using ATS to turn Time Series Estimation and Model Diagnostics into Fast Regression Estimation and Model Diagnostics	Jeremy Troisi	William S. Cleveland	2018-2019
Efficient Path and Parameter Inference for Markov Jump Processes	Boqian Zhang	Vinayak Rao	2018-2019
Embarrassingly Parallel Statistics and its Application to Divide & Recombine Methods for Big-Data Parallel Computation of Quantiles and Construction of K-D Trees	Aritra Chakravorty	William S. Cleveland	2018-2019
Model-Based High-Dimensional Network Inference: Theory & Methods	Min Ren	Dabao Zhang	2018-2019
Two Component Semiparametric Density Mixture Models with a Known Component	Zhou Shen	Michael Levine	2018-2019
Chromosome 3D structure modeling and new approaches for general statistical inference	Rongrong Zhang	Michael Y. Zhu	2018-2019
Analysis of Data of Different Spatial Support: A Multivariate Process Approach	Kelly-Ann Dixon Hamil	Hao Zhang	2017-2018
The Design and Analysis of Calcium-41 Clinical Trials to Study Treatments for Bone Loss	Courtney Henry	George McCabe	2017-2018
Design and Statistical Analysis of Mass Spectrometry Imaging Experiments	April Janae Harry	Hyonho Chun and Olga Vitek	2017-2018
Optimal Placement of a Small Order in a Diffusive Limit Order Book	Hyoeun Lee	Jose Figueroa-Lopez	2017-2018
Computationally Efficient Nonparametric Testing	Meimei Liu	Guang Cheng	2017-2018
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC and TRMM Big Data Analysis	Qi Liu	William S. Cleveland	2017-2018
WaveTDA: Bayesian Statistics, Wavelets and Topological Data Analysis to Assess Statistical Shape	Patrick Medina	Rebecca W. Doerge and Hyonho Chun	2017-2018
Exact Methods in Statistical Inference	Yixuan Qiu	Lingsong Zhang	2017-2018
Generalized Plot Matrices, Automatic Cognostics, and Efficient Data Exploration	Barret Schloerke	William S. Cleveland	2017-2018
Model Based Clustering Algorithms with Applications	Wutao Wei	Bowei Xi	2017-2018
Parallel Construction of Large-Scale Gene Regulatory Networks	Chen Chen	Min Zhang	2016-2017
Pragmatic Statistical Methods for Effective Protein Biomarker Discovery	Lin-Yang Cheng	Bowei Xi	2016-2017
Sampling Laws for Multi-Objective Simulation Optimization on Finite Sets	Guy Feldman	Raghu Pasupathy, Susan Hunter	2016-2017
Division of Credit Modeling for Team Sports with an Emphasis on NCAA Women's Volleyball	Zachary Hass	Bruce A. Craig	2016-2017
Statistics of Extremes with Climate Applications	Whitney Huang	Hao Zhang	2016-2017
Optimal Iterative Threshold Kernel Estimation of Jump-Diffusion Processes	Cheng Li	Hao Zhang, Jose Figueroa-Lopez	2016-2017
Advanced Statistical Tests for Large-Scale Genomic Data Analysis	Yaowu Liu	Jun Xie	2016-2017
Graphical Models for Non-Gaussian Continuous Data with Applications to Genomics Datasets	Ji Hwan Oh	Hyonho Chun	2016-2017
A Framework for the Statistical Analysis of Mass Spectrometry Imaging Experiments	Kylie Bemis	Hyonho Chun, Olga Vitek	2016-2017
Bayesian Methods for Causal Inference of Cell Signal Transduction	Robert Ness	Hyonho Chun	2016-2017
Group Tranformation and Identification with Kernel Methods and Big Data Mixed Logistic Regression	Chao Pan	Michael Zhu	2016-2017
Some Functional Regression Models in the Frame Work of Reproducing Kernel Hilbert Space	Simeng Qu	Xiao Wang	2016-2017
Divide and Recombined for Large Complex Data: Nonparametric-Regression Modelling of Spatial and Seasonal-Temporal Time Series	Xiaosu Tong	William S. Cleveland	2016-2017
Some Constructive Suggestions on False Models	Piyas Chakraborty	Hao Zhang, Jayanta K. Ghosh	2015-2016
Assessing Inter-rater Agreement for Compositional Data	Ningning Chen	Bruce Craig	2015-2016
On Methods for Variable Selection under Single Index Model and DNA Methylation Status Calling	Longjie Cheng	Michael Zhu	2015-2016
A Flexible Framework for Statistical Design and Analysis of Quantitative Mass Spectrometry-Based Proteomic Experiments	Meena Choi	Hyonho Chun, Olga Vitek	2015-2016
Model-Free Variable Screening, Sparse Regression Analysis and Other Applications with Optimal Transformations	Qiming Huang	Michael Zhu	2015-2016
Malliavin Calculus in the Canonical Levy Process: White Noise Theory and Financial Applications	Rolando D. Navarro, Jr.	Frederi Viens	2015-2016
High Dimensional Inference for Semiparametric Models	Zhuqing Yu	Guang Cheng	2015-2016
The Design and Statistical Analysis of Single-Cell RNA-Sequencing Experiments	Faye Zheng	Rebecca Doerge	2015-2016
Applications of Short-Time Asymptotic Methods to Option Pricing and Change-Point Detection for Levy Processes	Sveinn Olafsson	Jose Figueroa-Lopez	2014-2015
Inference Using Multi-Level Genomic Features Sets and Models in RNA-Seq Experiments	Jeremiah Rounds	Rebecca Doerge	2014-2015
Realized Kernal Estimation of Integrated Volatility Using High Feequency with Random Trading Time	Xiaoguang Wang	Michael Levine, Frank (Jian) Zou	2014-2015
Divide and Recombine For Large Complex Data: The Subset Likelihood Modeling Approach to Recombination	Philip Gautier	William S. Cleveland	2014-2015
Uncertainty Quantification and Calibration of Physical Models	Xian He	Hao Zhang	2014-2015
A Pure-Jump Market-Making Model for High-Frequency Trading	Chi Wai (Baron) Law	Frederi G. Viens	2014-2015
Stability of Machine Leaving Algorithms	Wei Sun	Guang Cheng	2014-2015
Modeling Spatial Covariance Functions	InKyung Choi	Hao Zhang	2014-2015
On the Occurences of Motifs in Recursive Trees With Applications to Random Structures	Mohan Gopaladesikan	Mark Daniel Ward, Hosam Mahmoud	2014-2015
Spatial Marked Point Processes - Models and Inferences	Yen-Ning Huang	Hao Zhang, Tonglin Zhang	2014-2015
Nonparametric Variable Selection and Dimension Reduction Methods and Their Applications in Pharmacogenomics	Zhu Jingyi	Jun Xie	2014-2015
The Tessera D&R Computational Environment:Designed Experiments For R-Hadoop Performance and Bitcoin Analysis	Jianfu Li	William S. Cleveland	2014-2015
Identification of Genomic Factors Using Family Based Association Studies	Libo Wang	Dabao Zhang, Min Zhang	2014-2015
Modeling and Inference in Functional Data Analysis	Shuang He	Xiao Wang, Chuanhai Liu	2013-2014
Some Theoretical and Methodological Aspects of Multiple Testing, Model Selection and Related Areas	Jyotishka Datta	Jayanta K. Ghosh, Michael Zhu	2013-2014
A Study of the Tenability of Polya Urn Schemes	Allison Davidson	Mark Daniel Ward	2013-2014
Doubly Separable Models and Distributed Parameter Estimation	Hyokun Yun	S. V. N. Vishwanathan	2013-2014
Disk Diffusion Breakpoint Determination Using a Bayesian Nonparametric Varition of the Errors-in-Variables Model	Glen DePalma	Bruce A. Craig	2013-2014
Non-parametric Spatial Models	Cheng Liu	Hao Zhang	2013-2014
Statistical Estimation of Jump-Diffusion Models via Optimal Thresholding	Jeffrey Nisen	Jose Figueroa-Lopez	2013-2014
Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq	Han Wu	Michael Zhu	2013-2014
Estimation of Variation for High-Throughput Molecular Biological Experiments with Small Sample Size	Danni Yu	Olga Vitek	2013-2014
Cost effective and accurate protein quantification for large-scale targeted proteomics	Ching-Yun (Veavi) Chang	Olga Vitek	2012-2013
Optimal Low Rank Model for Multivariate Spatial Data	Juan Hu	Hao Zhang	2012-2013
A Framework for Practical Bayesian Analysis of High-Dimiensional Genomic Data	Sanvesh Srivastava	Rebecca W. Doerge	2012-2013
New Methods of Estimation of Long-Memory Models with an Application in Climatology	Luis Barboza	Frederi G. Viens, Bo Li	2012-2013
Annotation-Informed Integration of 'omic Data in Next-Generation Sequencing	Douglas Baumann	Rebecca W. Doerge	2012-2013
General Method for Adaptive Control and Estimation of False Discovery Rate	Xiongzhi Chen	Rebecca Doerge	2012-2013
Statistical Protein Quantification and Prioritization in Label-Free Shotgun LC-MS/MS Proteomics	Timothy Clough	Olga Vitek	2011-2012
Model Selection: Bayes and Frequentist Perspective	Ritabrata Dutta	Jayanta K. Ghosh, Guang Cheng	2011-2012
Empirical Bayes Variable Selection in High-Dimensional Regression	Vitara Pungpapong	Dabao Zhang, Min Zhang	2011-2012
LASSO and General L_1 Regularized Regression under Linear Equality and Inequality	Tianhong He	Michael Zhu	2011-2012
Supervised Dimension Reduction for High-Dimensional Generalized Linear Models	Yanzhu Lin	Dabao Zhang, Min Zhang	2011-2012
A Multivariate Spatial Modeling Approach Using Semi-parametric Covariance Functions	Yong Wang	Hao Zhang	2011-2012
The Detection of Clusters with Spatial Heterogeneity	Zuoyi Zhang	Tonglin Zhang, Chuanhai Liu	2011-2012
Inferential Models and Restricted Spaces	Duncan Leaf	Chuanhai Liu	2010-2011
Bayesian Linkage Analysis for Autotetraploids	Eunjung Lim	Bruce A Craig	2010-2011
Bayesian Nonparametric Density Estimation and Sufficient Dimension Reduction in Survival Analysis	Shraddha Mehta	Bruce A Craig, Jayanta K. Ghosh	2010-2011
Divide and Recombine (D&R) for the Analysis of Large and Complex Data Sets with Application to VOIP	Jin Xia	William S. Cleveland, Mark Daniel Ward	2010-2011
Selecting Subsets of Traits for Quantitative Trait Loci Analysis	Tilman Achberger	Rebecca W. Doerge	2010-2011
Computing Environment for the Statistical Analysis of Large and Complex Data	Saptarshi Guha	William S. Cleveland	2010-2011
Population Monte Carlo Methods with Applications in Bayesian Statistics	Andrew Lewandowski	Chuanhai Liu	2010-2011
Building Statistical Models for Financial Asset Returns: New Stochastic Volatility Models	Yanhui Mi	Chuanhai Liu	2010-2011
Statistical Inference with Weak Beliefs	Jianchun Zhang	Chuanhai Liu	2010-2011
Model-Based Identification and Quantification of Metabolites in 1H NMR Spectra	Cheng Zheng	Olga Vitek	2010-2011
Statistical Design and Analysis of Next-Generation Sequencing Data	Paul Livermore Auer	Rebecca W. Doerge	2009-2010
Incorporating Genome Annotation in the Statistical Analysis of Genomic & Epigenomic Tiling Array Data	Gayla Olbricht	Rebecca W. Doerge, Bruce A. Craig	2009-2010
Reverse Engineering Gene Networks Using Genomic Time-Course Data	Andrea Rau	Rebecca W. Doerge	2009-2010
Local Regression Models: Advancements, Applications and New Methods	Ryan Hafen	William S. Cleveland	2009-2010
A Theil-type Estimate in Multiple Linear Regression and Developing a New BIC for Detecting Change-points	Gang Shen	Jayanta K. Ghosh	2009-2010
Variations and Hurst Index Estimation for Self-Similar Processes	Alexandra Chronopoulou	Frederi G. Viens	2009-2010
Joint Modeling of Highly Skewed Data with Excess Zeros Using Populas	Joanne Daggy	Bruce A. Craig	2009-2010
Associating Single Nucleotide Polymorphisms (SNPs) with Binary Traits	Alexander Lipka	Rebecca W. Doerge, George P. McCabe	2009-2010
Estimation of Interatomic Distance Distribution of Protein Molecules from Small Angle Scattering (SAS) Images	Sudeshna Paul	Bruce A. Craig	2009-2010
Improving the EM Algorithm for Maximum Likelihood Inference	Yunxiao He	Chuanhai Liu	2008-2009
Statistical Inference of Protein Structure Using Small-Angle X-Ray Scattering Data	Lanqing Hua	Bruce A. Craig	2008-2009
Methods for Analyzing Rankings Data and Network Intrusion Detection	Paul Kidwell	William S. Cleveland, Guy Lebanon	2008-2009
Fast Nonparametric Estimation of a Mixing Distribution with Application to High-dimensional Inference	Ryan Martin	Jayanta K. Ghosh, Chuanhai Liu	2008-2009
Mixed Models in Quantitative Trait Loci and Association Mapping with Bootstrap Thresholds	Cherie Ochsenfeld	Rebecca W. Doerge, Kristofer Jennings	2008-2009
Local Likelihood Modeling of the Concept Drift Phenomenon	Yang Zhao	Guy Lebanon	2008-2009
Some New Approaches in High-Dimensional Variable Selection and Regression	Zhongyin (John) Daye	Michael Zhu	2008-2009
Covariance Adaptation and Regularization in Large-Scale Hypothesis Testing and High-Dimensional Variable Selectino	Xinge Jessie Jeng	Jayanta K. Ghosh, Jiashun Jin	2008-2009
Mutual Fund Performance Evaluation Methodology and Local False Discovery Rate Approach	Nikita Tuzov	Frederi G. Viens	2008-2009
Group Variable Selection Methods in Analyses of Genomic Data	Lingmin Zeng	Jun Xie	2008-2009
Nonparametric Calibration of Two Common Susceptibility Tests Using Interval-Censored Data with Measurement Error	Xiaoli Qi	Bruce A. Craig	2008-2009
Dynamic Clustering of Time Series Gene Expression	Lingling An	Rebecca W. Doerge	2007-2008
Multifractal Functional Sum-Diffesenle Models for Internet Traffic	David Anderson	William S. Cleveland	2007-2008
An Additive-Interactive Nonlinear Volatility Model, Estimating and Testing	Jinguang (Tony) Li	Michael (Mihails) Levine	2007-2008
Stepwise Model Building Approach for Mixed-Effects Models with Random Scale Effects	Lei Shu	William S. Cleveland	2007-2008
Statistical Methods for Integrating Epigenomic Results	Suk Young Yoo	Rebecca W. Doerge	2007-2008
Voice Over the Internet: Statistical Properties and Quality of Service	Hui Chen	William S. Cleveland, Bowei Xi	2007-2008
Algorithm-based statistical modeling with application to multi-sensor tracking data with missing values	Jianying Zhang	William S. Cleveland	2007-2008
Statistical Methods for Mapping Multiple Complex Traits	Riyan Cheng	Rebecca W. Doerge, Jun Xie	2007-2008
Stenosis Surveillance for Hemodialysis Patients	Zhenqiang (James) Lu	William S. Cleveland	2007-2008
Incorporating Uncertainty into Non-invasive DNA-based Mark-Recapture Population Estimates	Shannon Knapp	Bruce A. Craig	2006-2007
Estimation of a General Correlation Structure for Latent Class and Latent Variable Models of Multivariate Binary Data	Huiping Xu	Bruce A. Craig	2006-2007
Some Applications of the prior Bayes Approach	Hui Xu	Herman Rubin	2006-2007
Evaluating the Nutrional Impact of Maize Varieties Genetically Improved for Protein Quality	Nilupa Gunaratna	George P. McCabe	2006-2007
Statistical Issues in Mapping of Genetic Determinants for Expression Level Polymorphisms	Kyunga Kim	Rebecca W. Doerge	2006-2007
Experimental Methods for Model Selection	Benjamin Tyner	William S. Cleveland	2006-2007
Identifying Regulated Genes through the Correlation Structure of Time Dependent Microarray	Martina Bremer	Rebecca W. Doerge	2006-2007
Some Problems in Hazard Estimation with Smoothing Splines	Pang Du	Chong Gu	2005-2006
Statistical Methods for Using 41Ca to Assess Treatment Effects on Bone Turnover	Joseph Nolan	George P. McCabe	2005-2006
Classification and Variable Selection for High Dimensional Multivariate Binary Data: Adaboost Based New Methods and A Theory for the Plug-in Rule	Junyong Park	Jayanta K. Ghosh	2005-2006
Exploring Dirichlet Mixture and Logistic Gaussian Process Priors in Density Estimation, Regression and Sufficient Dimension Reduction	Surya Tokdar	Jayanta K. Ghosh	2005-2006
Statistical issues in protein microarray analysis	Lianbo Yu	Rebecca W. Doerge	2005-2006
On the Estimation of Mixing Distributions: NPMLE and NPMPLE	Lei Liu	Michael Zhu	2005-2006
Non- and Semi- Parametric Regression with Correlated Data	Chun Han	Chong Gu	2004-2005
Some Topics in Probability and Statistics	Bradford Johnson	Thomas M. Sellke	2004-2005
Bayesian Models and Markov Chain Monte Carlo Methods for Protein Motifs Using Secondary Characteristics	Nak-Kyeong Kim	Jun Xie	2004-2005
Methods for Missing Values in Dichotomous Response Variables	Yun Wang	George P. McCabe	2004-2005
Fourier methods for sufficient dimension reduction in regression	Peng Zeng	Michael Zhu	2004-2005
Non parametric Clustering and mold selection with application in Bioinformatics	Wenxuan Zhong	Michael Zhu	2004-2005
Incorporating Time-Dependent Covariate in the Cox Proportional Hazards Models: the LVAR Approach	Yali Liu	Bruce A. Craig	2004-2005
Meta-Analytic Approaches for Microarray Data	John Stevens	Rebecca W. Doerge	2004-2005
An Inferential Approach to Protein Backbone Nuclear Magnetic Resonance Assignment	Olga Vitek	Bruce A. Craig, Chris Bailey-Kellogg	2004-2005
Stochastic Volatility Stock Price - Coefficient Estimation and Option Pricing Using a Recombining Tree and Sharp Estimation of the Almost-Sure Lyapunov Exponent for the Anderson Model in Continuous Space	Ionut Florescu	Frederi G. Viens	2004-2005
A Two-Step Procedure for Multiple Pairwise Comparisons in Microarray Experiments	Hongmei Jiang	Rebecca W. Doerge	2004-2005
Motif Discovery via Context Dependent Models	Chuancai Wang	Bruce A. Craig, Jun Xie	2004-2005
Model Selection for High Deimnsional Problems with Application to Function Estimation	Arijit Chakrabarti	Jayanta K. Ghosh	2003-2004
Limit Theorems for Reinforced Random Walks on Trees	Andrea Collevecchio	Burgess Davis	2003-2004
Estimation of Parameters in Nonlinear Models with Dependent Data	Zhen Jiang	George P. McCabe	2003-2004
Estimation of the Distribution of Protein Requirements in a Population	Craig Johnson	George P. McCabe	2003-2004
A Study of Random Field Models in Fitting Unspecified Data Generating Processes: Thoery and Applications	Yu Qin	Seongjoo Song	2003-2004
Some Classical and Bayesian Nonparametric Regression Methods in a Longitudinal Marginal Model	Jeonggang (Martin) Seo	Jayanta K. Ghosh	2003-2004
Quantitative Trait Locus Analysis in Polyploids	Dachuang Cao	Rebecca W. Doerge, Bruce A. Craig	2003-2004
A New Statistical Model Combining Strength and Binary Choice with Applications to Paired Comparison Problems	David Annis	Bruce A. Craig	2003-2004
Statistical Analysis of Medical Images	Nels Grevstad	Chong Gu	2002-2003
Finite Mixture for Clustering, Dimension Reduction and Privacy Preserving Data Mining	Xiaodong Lin	Michael Zhu	2002-2003
Nonparametric Mixed-Effect Models	Ping Ma	Chong Gu	2002-2003
On Some Empirical Bayes and Statistical Selection and Ranking Procedures	Lin (Colin) Chen	Thomas M. Sellke	2002-2003
Smoothing Spline Regression: Scalable Computation and Cross Validation	Young-Ju Kim	Chong Gu	2002-2003
Penalized Likelihood Density Estimation: Cross Validation and Some Small Theories	Jingyuan Wang	Chong Gu	2002-2003
Bayesian Analysis of Nonparametric Regression Problems	Messan (Charles) Amewou-Atisso	Jayanta K. Ghosh	2001-2002
Statistical Issues in the Design and Analysis of Spotted Microarray Experiments	Michael Alan Black	Rebecca W. Doerge	2001-2002
On Semiparametric Regression Via Wavelets	Leming Qu	Mary Ellen Bock	2001-2002
Limit Theorem for the Spread of Branching Process with Stabilizing Drift	Olga Korosteleva	Thomas M. Sellke	2001-2002
Hedging of Options When the Price Process Has Jumps Whose Arrival Rate Depends on the Price History	Kiseop Lee	Philip Protter	2001-2002
Variable Selection Methodology for High-Dimensional Multivariate Binary Data with Application to Microbial Community DNA Fingerprint Analysis	Jayson Wilbur	Rebecca W. Doerge, Jayanta K. Ghosh	2001-2002
Nonparametric Regression and Density Estimation in Besov Spaced via Wavelets	Eric Chicken	Tianwen Tony Cai, William J. Studden	2001-2002
Choice of Priors for Hierarchical Models: Admissibility and Computation	Dejun Tang	Mary Ellen Bock, James O. Berger	2001-2002
On Some Statistical Inference Problems Using Empirical Bayes Approach	Jianjun Li	Shanti S. Gupta	2000-2001
Optimal Designs for Estimating the Path of a Stochastic Process	Bhramar Mukherjee	William J. Studden	2000-2001
Null Model Methods for Cluster Analysis of Gene Expression Data	Brian Munneke	Rebecca W. Doerge	2000-2001
Bayesian Model Selection for High Dimensional Models with Prediction Error Loss and 0-1 Loss.	Nitai Mukhopadhyay	James O. Berger, Jayanta K. Ghosh	1999-2000
Some Contributions to Stochastic Geometry	Wen-Chi Tsai	Anirban DasGupta	1999-2000
Convergence of the Euler Scheme for Stochastic Differential Equations	Liqing Yan	Philip Protter	1999-2000
Filtering and Estimation of Noise Contaminated Chaotic Time Series	Jason H. Stover	Steven P. Lalley	1999-2000
Estimation, Testing, and Forecasting for Long Memory Processes	Chuanbo Zang	Anirban DasGupta	1998-1999
Multiple Decision Theory: Ranking and Selection Rules	Xun Lin	Shanti S. Gupta	1998-1999
Limit Theorems for the Minimal Position in a Branching Random Walk with Independent Logconcave Displacements	Markus Bachmann	Thomas M. Sellke	1998-1999
Subsampling methods for stochastic process based on Poisson samples	Zusheng (Shawn) Jin	George P. McCabe	1998-1999
Development of Expected Posterior Prior Distributions for Model Comparison	Jose Miguel Perez	James O. Berger, Shanti S. Gupta	1998-1999