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Theses/Dissertations from 2017

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Bagged projection methods for supervised classification in big data, Natalia Da Silva Cousillas

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Forensic tool mark comparisons: Tests for the null hypothesis of different sources, Jeremy R. Hadler

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Statistical methods for bullet matching, Eric Riemer Hare

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Methods for analysis and uncertainty quantification for processes recorded through sequences of images, Margaret Johnson

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On advancing MCMC-based methods for Markovian data structures with applications to deep learning, simulation, and resampling, Andrea Kaplan

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Bayesian inference of virus evolutionary models from next-generation sequencing data, Emily Anne King

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Statistical methods for estimation, testing, and clustering with gene expression data, Andrew Lithio

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Extending removal and distance-removal models for abundance estimation by modeling detections in continuous time, Adam Martin-Schwarze

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Topics in statistical inference for massive data and high-dimensional data, Liuhua Peng

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Nonparametric regression models with and without measurement error in the covariates, for univariate and vector responses: a Bayesian approach, Eduardo Antonio Trujillo-Rivera

Theses/Dissertations from 2016

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Kernel deconvolution density estimation, Guillermo Basulto-Elias

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

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Topics in empirical Bayesian analysis, Robert Christian Foster

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Evaluation of Parametric and Nonparametric Statistical Methods in Genomic Prediction, Reka Howard

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High-dimensional hierarchical models and massively parallel computing, William Michael Landau

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Statistical methods in sports with a focus on win probability and performance evaluation, Dennis Lock

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Bayesian models and inferential methods for forecasting disease outbreak severity, Nicholas Lorenz Michaud

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Interfacing R with Web Technologies for Interactive Statistical Graphics and Computing with Data, Carson Sievert

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Probabilistic methods for quality improvement in high-throughput sequencing data, Xin Yin

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