Dissertations

Advances in Non-Parametric Spatial Temporal Point Process Models with Applications to Crimes and Infectious Diseases

Junhyung Park; PhD, 2020

Applications and Properties of Point Processes

Conor Joseph Kresin; PhD, 2023

Gene Selection Methods for Single-cell Sequencing Data Analysis

Kexin Li; PhD, 2023

Revealed Preferences Models for Reconstructing and Analysing Partnerships in Two-Sided Matching Market

Shuchi Goyal; PhD, 2023

Selection into the Sample and into Treatment: Tools for Internally Valid Causal Inference

Adam Robert Rohde; PhD, 2023

Statistical Reconstruction of 20th Century Antarctic Sea Ice

Thomas Johannes Maierhofer; PhD, 2023

Value Learning for Interactive Games, Embodied Artificial Intelligence, and Robotics

Yizhou Zhao; PhD, 2023

Bidirectional Mental State Alignment for Human-Machine Collaboration

Xiaofeng Gao; PhD, 2022

Close the Loop of Neural Perception, Grammar Parsing, and Symbolic Reasoning

Qing Li; PhD, 2022

Close the Loop of Neural Perception, Grammar Parsing, and Symbolic Reasoning

Qing Li; PhD, 2022

Constraint-Based Learning of Interventional Markov Equivalence Classes on High-Dimensional Data

Hao Wang; PhD, 2022

Deep Energy-Based Generative Modeling and Learning

Yifei Xu; PhD, 2022

Distance-oriented Space-filling Design Constructions for Gaussian Process Modeling

Yuhao Yin; PhD, 2022

Holistic Scene Understanding and Goal-directed Multi-agent Event Parsing

Yixin Chen; PhD, 2022

Learning Factor Analysis Structures: A Clique Search Method on Correlation Thresholded Graphs and a Piecewise Linear Spline Approach

Dale Kim; PhD, 2022

On Recursive and Hawkes Models for Forecasting the Spread of Epidemic Diseases

Andrew Kaplan; PhD, 2022

Plug-in Estimation Approaches to Causal Inference and Discovery

Gabriel Ruiz; PhD, 2022

Testing in Network Models with Community Structure

Linfan Zhang; PhD, 2022

The Imagined We: Shared Bayesian Theory of Mind for Modeling Communication

Stephanie Eu-Tien Stacy; PhD, 2022

A Hierarchical Computational Framework for Social Interaction Understanding: Interactiveness, Shared Attention, Gaze Communication and Triadic Belief Dynamics

Lifeng Fan; PhD, 2021

Benchmarking Statistical and Machine-Learning Methods for Single-cell RNA Sequencing Data

Nan Xi; PhD, 2021

Bipartite Network Community Detection: Development and Survey of Algorithmic and Stochastic Block Model Based Methods

Yidan Sun; PhD, 2021

Causal Inference Outside of Randomized Trials with the Stability-Controlled Quasi-Experiment: Extensions and Considerations

David Wulf; PhD, 2021

Development and Benchmarking of Imputation Methods for Micriobome and Single-cell Sequencing Data

Ruochen Jiang; PhD, 2021

Effective Learning of Descriptive and Generator Models and Learning Representations for Grid Cells and V1 Cells

Ruiqi Gao; PhD, 2021

Evaluation and Construction of Space-Filling Designs Based on Stratification

Ye Tian; PhD, 2021

Falsification Testing for Causal Design Assumptions

Sydney Kahmann; PhD, 2021

Gaining Justified Human Trust by Improving Explainability in Vision and Language Reasoning Models

Arjun Reddy Akula; PhD, 2021

Graphon Estimation by Empirical Bayes Approach and Causal Discovery from Multiple Populations

Zhanhao Peng; PhD, 2021

Human-like Holistic 3D Scene Understanding

Siyuan Huang; PhD, 2021

Latent Space Energy-Based Model

Bo Pang; PhD, 2021

Learning Descriptive and Generative Models with Short-Run MCMC

Erik Lennart Nijkamp; PhD, 2021

Novel Approaches to Degeneracy in Network Models

Timothy Blackburn; PhD, 2021

Order-based Learning of Bayesian Networks: Regularized Cholesky Score and Distributed Data

Qiaoling Ye; PhD, 2021

Robot Learning from Interactions with Physics-realistic Environment: Constructing Big Task Platform for Training AI Agents

Xie Xu; PhD, 2021

Statistical Learning with Neural Networks Trained by Gradient Descent

Spencer Frei; PhD, 2021

Statistical Methods for the Social Sciences

Leonard Wainstein; PhD, 2021

Statistical and Computational Methods for Comparing High-Throughput Data from Two Conditions

Xinzhou Ge; PhD, 2021

Statistical criteria and procedures for controlling false positives with applications to biological and biomedical data analysis

Yiling Chen; PhD, 2021

Structural Learning of Gaussian DAGs from Network Data

Hangjian Li; PhD, 2021

Transparent and Robust Causal Inferences in the Social and Health Sciences

Carlos Leonardo Kulnig Cinelli; PhD, 2021

Joint and Post-Selection Confidence Sets for High-Dimensional Regression

Kun Zhou; PHD, 2020

Learning and Mapping Energy Functions of High-Dimensional Image Data

Mitchell Krupiarz Hill; PhD, 2020

A Cognition Platform for Joint Inference of 3D Geometry, Object States, and Human Belief

Tao Yuan; PhD, 2019

Contributions to Structured and Unstructured Data Analysis: Liquid Association Computation Acceleration and Word Similarity via Folksonomy

Guani Wu; PhD, 2019

High-dimensional Inferences via Estimator Augmentation: Post-selection and Group Structure

Seunghyun Min; PhD, 2019

Problems in Epidemic Inference on Complex Networks

Seyed Jalil Kazemitabar Amirkolaei; PhD, 2019

Social Scene Understanding: Group Activity Parsing, Human-Robot Interactions, and Perception of Animacy

Tianmin Shu; PhD, 2019

Statistical Methods for Bulk and Single-cell RNA Sequencing Data

Wei Li; PHD, 2019

Statistical Revealed Preference Models for Bipartite Networks

Fiona Yeung; PhD, 2019

Unsupervised Learning and Understanding of Deep Generative Models

Tian Han; PHD, 2019

Models for Spatial Point Processes on the Sphere

Meihui Xie; PhD, 2018

Optimal bipartite network clustering

Zhixin Zhou; PhD, 2018

Reduced Degeneracy Statistics for Exponential-family Random Graph Models and Latent Space Network Models for Rating

Jane Carlen; PhD, 2018

Separable Temporal Modeling of Point Processes on Linear Networks & Balancing Data Sufficiency and Privacy

Medha Uppala; PhD, 2018

Some Models in Relational Systems

Aaron Danielson; PhD, 2018

Statistical methods for analyzing mRNA isoform variation in large-scale RNA-seq data

Levon Demirdjian; PhD, 2018

Structure Learning of Bayesian Networks: Group Regularization and Divide-and-Conquer

Jiaying Gui; PhD, 2018

Visual Commonsense Reasoning: Functionality, Physics, Causality, and Utility

Yixin Zhu; PhD, 2018

Community Detection in Networks with Code Covariates

Zahra Razaee; Ph.D., 2017

Constructions and Applications of Space-Filling Designs

Qian Xiao; PhD, 2017

Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis

Yang Lu; Ph.D., 2017

Data Augmentation Approach to Short Text Classification

Ryan Robert Rosario; PhD, 2017

Extending Kriging Methods to Large Datasets with Applications to California Groundwater Data

Brice Charles Randolph; M.S., 2017

Integrative Analysis of Genomic and Transcriptomic Data in Taiwanese Lung Adenocarcinomas

Hao He; PhD, 2017

Joint Multiple Visual Task Understanding from a Single Image via Deep Learning and Conditional Random Field

Pengfei Wang; PhD, 2017

Modeling Objects and Parts by Compositional Relations

Jianyu Wang; Ph.D., 2017

Multimodal Learning for Vision and Language

Junhua Mao; PhD, 2017

Nonparametric Estimation, Forecasts, and Model Evaluation of Spatial Temporal Point Process Models for California Seismicity

Joshua Seth Gordon; Ph.D., 2017

Population Size Estimation using Multiple Respondent-Driven Samples

Brian Kim; PhD, 2017

Single View 3D Reconstruction and Parsing Using Geometric Commonsense for Scene Understanding

Chengcheng Yu; PhD, 2017

Spatial-Temporal Hierarchical Model for Joint Learning and Inference of Human Action and Pose

Xiaohan Nie; Ph.D., 2017

Using Monte Carlo Normal Distributions to Evaluate Structural Models with Nonnormal Data

Siavesh Jalal; Ph.D., 2017

Video and Image Analysis Using Local Information

Xiaochen Lian; Ph.D., 2017

Pose-Guided Human Semantic Part Segmentation

Fangting Xia; Ph.D., 2016

Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation

Xianjie Chen; PhD, 2016

Detecting Combinatorial DNA-Binding Patterns by the K-function and its Generalizations

Maria Cha; Ph.D., 2015

Logistic Regression Models and Diagnostics for Adverse Outcomes in Patients with Hyperemesis Gravidarum

Aromalyn Latag Magtira; Ph.D., 2015

Mapping Highly Nonconvex Energy Landscapes in Clustering, Grammatical and Curriculum Learning

Maria Pavlovskaia; Ph.D., 2014

An Online Tool for Personal Data Collection and Exploration

Nathan Chun-Yin Yau; Ph.D., 2013

Analysis of Time Series Models with Iterated Boosting

Sean Wang; Ph.D., 2013

Contributions in Design of Experiments: Methods and Applications

Jessica Jaynes; Ph.D., 2013

Penalized Bayesian Model Selection and Prediction for Gene Regulation in Higher Organisms

Matthew David Levinson; Ph.D., 2013

A Statistical and Computational Theory for the Art of Painting

Mingtian Zhao; Ph.D., 2012

Additive Mixed Modeling of HIV Patient Outcomes Across Multiple Studies

Jie Shen; Ph.D., 2012

Array Independent Component Analysis with Application to Remote Sensing

Irina A Kukuyeva; Ph.D., 2012

DNA Copy Number Reconstruction via Regularization

Zhongyang Zhang; Ph.D., 2012

Integrating 3D and 2D Representations for View Invariant Object Recognition

Wenze Hu; Ph.D., 2012

Sparse Causal Network Estimation with Experimental Intervention

Fei Fu; Ph.D., 2012

Spatial-Temporal Branching Point Process Models in the Study of Invasive Species

Earvin Balderama; Ph.D., 2012

A Comparison of Residual Analysis Methods for Space-time Point Processes with Applications to Earthquake Forecast Models

Robert Alan Clements; Ph.D., 2011

Accelerating Fixed Point Algorithms with Many Parameters

Michael Karsh; Ph.D., 2011

Block, Pass, Score: A Multivariate Methodology for Genome-wide Association Studies

Janice Brodsky; Ph.D., 2011

Estimating the Impact of Air Pollution Using Small Area Estimation

Mine Çetinkaya; Ph.D., 2011

Integration and Goal-Guided Scheduling of Bottom-Up and Top-Down Computing Processes in Hierarchical Models

Tianfu Wu; Ph.D., 2011

Learning AND-OR Templates for Object Recognition by Information Projection

Zhangzhang Si; Ph.D., 2011

Multilinear Approximation with Kronecker Weights

Wei Tan Tsai; Ph.D., 2011

New Nonparametric Methods for the Summary and Description of Marked Point Processes

Kevin Nichols; Ph.D., 2011

Statistical Techniques for the Analysis of Questionnaire Data with Images

Brigid Wilson; Ph.D., 2011

Testing Local Self-Similarity in Univariate Heavy-Tailed Data

Rakhee Dinubhai Patel; Ph.D., 2011

The Augmented Desirability Function: Methods and Applications

Hsiu-Wen Chen; Ph.D., 2011

Cost-Sensitive Tree-Stacking: Learning with Variable Prediction Error Costs

Tess Alexandra Nesbitt; Ph.D., 2010

Explaining Human Causal Learning using a Dynamic Probabilistic Model

Randall Rojas; Ph.D., 2010

Extensions of Distance and Prototype Methods for Point Patterns

David Diez; Ph.D., 2010

Machine Learning Approaches to Understanding Gene Regulation in Mouse Embryonic Stem Cells

Michael James Mason; Ph.D., 2010

Modeling and Analysis of Multiple Alignments, ChIP-seq, and Gene Expression Data for Finding Transcription Factor Binding Sites

Gong Chen; Ph.D., 2010

Multi-fidelity Data Fusion for Aerodynamic Metamodel Design

Denise Ferrari; Ph.D., 2010

A Hierarchical and Contextual Model for Learning and Recognizing Highly Variant Visual Categories

Jacob Porway; Ph.D., 2009

Analysis and Construction of Nonregular Fractional Factorial Designs

Frederick Kin Hing Phoa; Ph.D., 2009

Anisotropic Extensions of Point-process Models for Earthquake Occurrences

Ka Wong; Ph.D., 2009

Finding Fault: Anomaly Detection for Embedded Networked Sensing

Sheela D. Nair; Ph.D., 2009

Machine Learning for Classification and Diagnosis of functional Magnetic Resonance Image Scans

Ariana Anderson; Ph.D., 2009

Mapping Natural Image Patches by Explicit and Implicit Manifolds

Kent Xiaofeng Shi; Ph.D., 2009

Practical Aspects in the Estimation of Space-time Branching Point Process Models for Earthquake Occurrences

Ann Chu; Ph.D., 2009

Spatial Statistical Data Fusion for Remote Sensing Applications

Hai Nguyen; Ph.D., 2009

A Player Based Approach to Baseball Simulation

Adam Sugano; Ph.D., 2008

Applications of Voronoi Tessellations in Point Pattern Analysis

Christopher David Barr; Ph.D., 2008

Family based Liquid Association Study: An Approach to map the disease genes for the complex trait

Tun-Hsiang Yang; Ph.D., 2008

Learning Local and Context Information with Applications to Natural/Medical Image Analysis

Songfeng Zheng; Ph.D., 2008

Recursive Composition for Modeling, Inference and Learning in Computer Vision

Long Zhu; Ph.D., 2008

Statistical Methods in Classification Problems using Gene Expression/Proteomic Signatures

Xuelian Wei; Ph.D., 2008

Study of Functionally Related Gene Groups Using Microarray Expression Data: Theory and Application

Yijing Shen; Ph.D., 2008

A Hierarchical Compositional Model for Representation and Sketching of High-Resolution Human Images

Zijian Xu; Ph.D., 2007

Cost-Sensitive Stochastic Gradient Boosting Within a Quantitative Regression Framework

Brian Kriegler; Ph.D., 2007

Homals-clustering Analysis and its Applications in Computational Sequence Analysis

Ya-Ching Hsieh; Ph.D., 2007

Multivariate Ordinal Data Analysis with Pairwise Likelihood and Its Extension to SEM

Juanmei Liu; Ph.D., 2007

Separability Testing for Point Processes with Covariates and An Application to Wildfire Hazard Assessment

Chien-Hsun Chang; Ph.D., 2007

Statistical Methods for Complex Disease Analysis

Angela Paige Presson; Ph.D., 2007

Statistical Strategies in eQTL Studies

Wei Sun; Ph.D., 2007

A Bayesian Scale-Up Policy for Stochastic Investments

Neda Farzinnia; Ph.D., 2006

Analysis of longitudinal data with missing values

Jinhui Liu; Ph.D., 2006

ChIP-chip: Data, Model and Analysis

Ming Zheng; Ph.D., 2006

Ethnic and Economic Factors in Segregation Processes

Elizabeth Eve Bruch; Ph.D., 2006

Extended Homozygosity in High Density Genotyping

Hui Wang; Ph.D., 2006

Hierarchical Empirical Bayes Analysis of Genomic Microarrays

Stephen Erickson; Ph.D., 2006

MCMC analysis: First Hitting Times, Visiting Scheme, and Auxiliary Variables

Romeo Maciuca; Ph.D., 2006

Missing Data Imputation for Tree-Based Models

Yan He; Ph.D., 2006

Some Methods of Assessing and Estimating Point Processes Models for Earthquake Occurrences

Alejandro Veen; Ph.D., 2006

Statistical Methods for a Sensor Rich Building

Jong-ho Baek; Ph.D., 2006

Study on Transcriptional Regulation of Protein Complexes in Saccharomyces Cerevisiae

Ching-Ti Liu; Ph.D., 2006

Markov Chain Monte Carlo Estimation of Multi-Factor Affine Term-Structure Models

He Hu; Ph.D., 2005

Methods to Extract Rare Events

Weihua Huang; Ph.D., 2005

Point Process Prototypes, and Other Applications of Point Pattern Distance Metrics

Katherine Eleanor Tranbarger; Ph.D., 2005

Study of the Transcription Regulation in Saccharomyces Cerevisiae

Tianwei Yu; Ph.D., 2005

A Null-space Algorithm for Overcomplete Independent Component Analysis

Ray-Bing Chen; Ph.D., 2003

Applications of Multi-dimensional Point Process Methodology to Wildfire Hazard Assessment

Roger Dean Peng; Ph.D., 2003

Some Contributions in Computational Biology: Medical Image and Gene Expression

Shinsheng Yuan; Ph.D., 2003

Applications of Parallel Programming in Statistics

Vanessa Beddo; Ph.D., 2002

Model-based Analysis of Oligonucleotide Arrays

Cheng Li; Ph.D., 2001

Entropy Filtering Method and Insertion/Deletion Robust Algorithm for Multiple Local Sequence Alignment

Jun Xie; Ph.D., 2000

Fitting Nonlinear Mixed Effects Models by Laplace Approximation

Laura Jean Piersol; Ph.D., 2000

A Markov Chain Monte Carlo Method for Approximating 2-Way Contingency Tables with Applications in the Stability Analysis of Ecological Ordination

Stanley S. Bentow; Ph.D., 1999

A Rate-distortion Approach to Massive Set Data Analysis

Amy Joan Braverman; Ph.D., 1999

A Robust Approach to SIR Estimation

Jason Bond; Ph.D., 1999

Applications of the Two-Parameter Poisson-Dirichlet Distribution

Matthew Carlton; Ph.D., 1999

Blind Separation and Deconvolution: Contributions to Aggregated Time Series Analysis and Signal Processing

Kerby Shedden; Ph.D., 1999

Model Checking for Incomplete High-dimensional Categorical Data

Ming-Yi Hu; Ph.D., 1999

Stationary Processes on 2k for Bayesian Experimental Design

M. Kathleen Kerr; Ph.D., 1999

Variance Estimation of the Largest Eigenvalue Aspect

Deborah Wang-Lin; Ph.D., 1998

Prediction in Multilevel Models

David Afshartous; Ph.D., 1997

Multilevel Homogeneity Analysis

Geoge Michailides; Ph.D., 1996

The E-look-ahead Rule and its Application to Foraging Theory

Amy Lynn Biesterfeld; Ph.D., 1996

Multilevel Diagnostics in Mixed and Hierarchical Linear Models

James Hilden-Minton; Ph.D., 1995