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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
Sparse Deep Learning and Stochastic Neural Network Sun, Yan Faming Liang 2021-2024
Expeditious Causal Inference for Big Observational Data via Distributed Design and Designed Bootstrap Zhang, Yumin Arman Sabbaghi 2021-2025
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 2021-2023
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

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