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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
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
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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