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Theses/Dissertations from 2016

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Bayesian contributions to the modeling of multivariate macroeconomic data, Lendie Ruth Follett

Theses/Dissertations from 2015

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Interactive visualization for missing values, time series, and areal data, Xiaoyue Cheng

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Small area prediction based on unit level models when the covariate mean is measured with error, Andreea Luisa Erciulescu

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Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework, Daniel Clayton Fortin

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Some methods for handling missing data in surveys, Jongho Im

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Local prediction and classification techniques for machine learning and data mining, Cory Lee Lanker

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Statistical methods in detecting differential expressed genes, analyzing insertion tolerance for genes and group selection for survival data, Fangfang Liu

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Experimental designs for multiple responses with different models, Wilmina Mary Marget

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Applications of technology and large data in statistics education and statistical graphics, Karsten Tait Maurer

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Applications of and extensions to state-space models, David Allen Osthus

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Computer model optimization within hidden constraints, Jostein Reiners

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Bayesian modeling and computation with latent variables, Matthew Wayne Simpson

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Perception in statistical graphics, Susan Ruth VanderPlas

Theses/Dissertations from 2014

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An investigation of viral fitness using statistical and computer models of Equine Infectious Anemia Virus infection, Derek Blythe

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A local structure graph model for network analysis, Emily Taylor Casleton

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Imputation of missing values using quantile regression, Senniang Chen

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Modeling, inference and clustering for equivalence classes of 3-D orientations, Chuanlong Du

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Mixed effects modeling with missing data using quantile regression and joint modeling, Luke Karsten Fostvedt

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Characterizing diurnal and interannual variability in the atmosphere through physical and stochastic models, Jonathan Michael Hobbs

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Contributions to the design and analysis of nondestructive evaluation experiments, Yew-Meng Koh

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Biclustering methods and a Bayesian approach to fitting Boltzmann machines in statistical learning, Jing Li

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Inference for High-Dimensional Covariance Matrices and Thresholding Tests for High-Dimensional Count Distributions, Yumou Qiu

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Explorations of the lineup protocol for visual inference: application to high dimension, low sample size problems and metrics to assess the quality, Niladri Roy Chowdhury

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Topics in cancer genomics, Sachet Ashok Shukla

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Statistical methods for random rotations, Bryan Stanfill

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On empirical likelihood methods for irregularly located spatial data, Matthew Van Hala

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Estimation Under Stochastic Differential Equations, Shan Yang

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Fractional imputation method of handling missing data and spatial statistics, Shu Yang

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Some Bayesian and multivariate analysis methods in statistical machine learning and applications, Wen Zhou

Theses/Dissertations from 2013

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Methods for modeling and forecasting wind characteristics, Lisa Bramer

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Topics in stochastic growth models, Subhomoy Ghosh

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Residual analysis for structural equation modeling, Laura Hildreth

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Statistical methods for the forensic analysis of striated tool marks, Amy B. Hoeksema

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Reducing parameter estimation bias for data with missing values using simulation extrapolation, Yu-Yi Hsu

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Threshold value estimation in the presence of covariate measurement error, Maria LaVonne Joseph

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Hotspot detection and a nonstationary process variance function estimation, Eunice J. Kim

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Applying item response theory modeling in educational research, Dai-Trang Le

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Two sample inference for high dimensional data and nonparametric variable selection for census data, Jun Li

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Estimating multiple treatment effects in two-phase observational data, Bin Liu

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Statistical inference for functions of the parameters of a linear mixed model, Jia Liu

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Statistical methods for extreme values and degradation analysis, Shiyao Liu

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Non-parametric and semi-parametric estimation of spatial covariance function, Yang Li

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Diagnostics for mixed/hierarchical linear models, Adam Madison Montgomery Loy

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Investigations into Visual Statistical Inference, Md Mahbubul Amin Majumder

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Modifications to classification and regression trees to solve problems related to imperfect detection and dependence, Mark McKelvey

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Alternative approaches to maximum likelihood estimation of the spatial random effects model, Karl Pazdernik

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Isotropic Distributions for 3-Dimension Rotations and One-Sample Bayes Inference, Yu Qiu

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Propensity score adjusted method for missing data, Minsun Kim Riddles

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Estimating a parametric lifetime distribution from superimposed renewal process data, Ye Tian

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Workflow tools for biological applications, Marie C. Vendettuoli

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Dynamic Graphics and Reporting for Statistics, Yihui Xie

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Improvements to random forest methodology, Ruo Xu

Theses/Dissertations from 2012

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Efficient estimation in missing data and survey sampling problems, Sixia Chen

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Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis and statistical inferences for gene expression heterosis, Tieming Ji

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On nonparametric likelihood methods for weakly and strongly dependent time series, Young Min Kim

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Confidence intervals for variance components and functions of variance components in the random effects model under non-normality, Kari Kraemer

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Statistical methods in disease risk analysis, disease testing and nutrition epidemiology, Hui Lin

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Statistical methods for identifying differentially expressed genes using hierarchical models, Steven Peder Lund

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Assessing differential expression when the distribution of effect sizes is asymmetric and evaluating concordance of differential expression across multiple gene expression experiments, Megan Christina Orr

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Modeling crash frequency data, Kristian Schmidt

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Statistical analysis of RNA-seq data from next-generation sequencing technology, Yaqing Si

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Applications of Non-Parametric Kernel Smoothing Estimators in Monte Carlo Risk Assessments, Allan Francis Trapp II

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Application of order restricted statistical inference and hidden Markov modeling to problems in biology and genomics, Heng Wang

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Essays on GMO effects on crop yields, the effects of pricing errors on implied volatilities and smoothing for seasonal time series with a long cycle, Zheng XU

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Using the negative log-gamma distribution for Bayesian system reliability assessment, Roger Zoh

Theses/Dissertations from 2011

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Some contributions to Ricean and complex-valued modeling of functional MRI time series, Daniel Wright Adrian

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The Use of Advanced Statistical Concepts and Analysis to Improve Nonlinear Dynamic Glucose Modeling, Lucas Beverlin

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Bayesian methods for system reliability and community detection, Jiqiang Guo

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Development of weighted model fit indexes for structural equation models using multiple imputation, Cherie Joy Kientoff

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Investigation and development of statistical method for gene expression data analysis, Nicholas Bradley Larson

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A separability index for clustering and classification problems with applications to cluster merging and systematic evaluation of clustering algorithms, Anna Dagmar Peterson

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Methods for planning repeated measures degradation tests, Brian Phillip Weaver

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Topics on high dimensional statistical inference and ANOVA for longitudinal data, Pingshou Zhong

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Some goodness-of-fit tests and efficient estimation in longitudinal surveys under missing data, Ming Zhou

Theses/Dissertations from 2010

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A Small Area Procedure for Estimating Population Counts, Emily J. Berg

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Statistical methods for analyzing physical activity data, Nicholas Koenen Beyler

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Statisical method and simulation on detecting cracks in vibrothermography inspection, Chunwang Gao

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Investigation of intergenic regions of Mycoplasma hyopneumoniae and development of statistical methods for analyzing small-scale RT-qPCR assays, Stuart W. Gardner

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Probabilistic Studies of Different Investment Strategies, Ling Huang

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Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation, Kun Liang

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New methods for statistical modeling and analysis of nondestructive evaluation data, Ming Li

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Construction and behavior of Multinomial Markov random field models, Kim Mueller

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Model selection for good estimation or prediction over a user-specified covariate distribution, Adam Lee Pintar

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Improving statistical inference for gene expression profiling data by borrowing information, Long Qu

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Detecting recombination and its mechanistic association with genomic features via statistical models, Misha Rajaram

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Contributions to accelerated destructive degradation test planning, Ying Shi

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A novel principal component analysis method for identifying differentially expressed gene signatures, Ai-ling Teh

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Statistical methods to estimate the relative contribution of individual effective dose and stochastic models in toxicology, Man Yu Yum

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Analysis of window-observation recurrence data, Jianying Zuo

Theses/Dissertations from 2009

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Estimating the number of true null hypotheses and the false discovery rate from multiple discrete non-uniform permutation p-values, Timothy John Bancroft

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Likelihood and Bayes inference for a class of distributions on orientations in 3 dimensions, Melissa Ann Bingham

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Analysis of experiments to validate computer models with binary output, Patrick Samuel Chapin

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Classical and Bayesian mixed model analysis of microarray data for detecting gene expression and DNA differences, Cumhur Yusuf Demirkale

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Reliability prediction based on complicated data and dynamic data, Yili Hong

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Memory indicators and their incorporation into dynamic models, Wen Li

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Statistical methods in a high school transcript survey, Lu Lu

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New Developments in Planning Accelerated Life Tests, Haiming Ma

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Some theoretical contributions to the evaluation and assessment of finite mixture models with applications, Volodymyr Melnykov

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Bayesian mixture modeling and outliers in inter-laboratory studies, Garritt L. Page

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Fractional Imputation, Minhui Paik