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Author:

Boschi, Tobia

Title:

Data Registration and Feature Selection in Functional Regression: some methodological and computational developments

Graduate Program:

Statistics (PHD)

Keywords:

Functional Linear Models
Feature Selection
Functional Registration

File:

Download main_tobia.pdf

Committee Members:

Marzia A Cremona, Special Member
Murali Haran, Major Field Member
Paul Medvedev, Outside Unit & Field Member
Francesca Chiaromonte, Chair & Dissertation Advisor
Ephraim Mont Hanks, Professor in Charge/Director of Graduate Studies
Matthew Reimherr, Dissertation Advisor

Author:

Sterge, Nicholas

Title:

COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

Graduate Program:

Statistics (PHD)

Keywords:

Statistics
Kernel Methods
Machine Learning
Principal Component Analysis
Approximation Methods

File:

Download NicholasJSterge_Dissertation_2_0.pdf

Committee Members:

John Harlim, Outside Unit & Field Member
Bharath Kumar Sriperumbudur, Chair & Dissertation Advisor
Bing Li, Major Field Member
Ethan Fang, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Schmid, Christian

Title:

Theory and Applications of Estimation Methods for Exponential-family Random Graph Models

Graduate Program:

Statistics (PHD)

Keywords:

network
ERGM
MLE
pseudolikelihood
likelihood principle
simulated annealing
Godambe information
SCOTUS
citations
majority opinions
parametric bootstrap

File:

Download Dissertation_Christian_Schmid_final.pdf

Committee Members:

David Hunter, Chair & Dissertation Advisor
Xiaoyue Niu, Major Field Member
Murali Haran, Major Field Member
Bruce Desmarais, Outside Unit, Field & Minor Member
Ethan Fang, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Osotsi, Ame J

Title:

Extracting information in text and time series datasets

Graduate Program:

Statistics (PHD)

Keywords:

Natural language processing
Information extraction
Change point
Wearable data
Machine learning
Deep learning
Topic model

File:

Download PhD_Thesis___Ame_8_.pdf

Committee Members:

David Hunter, Major Field Member
Qunhua Li, Chair & Dissertation Advisor
Guido Cervone, Outside Unit & Field Member
Matthew Reimherr, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Seo, Beomseok

Title:

Interpretable Statistical Learning: From Hidden Markov Models to Neural Networks

Graduate Program:

Statistics (PHD)

Keywords:

Interpretable Machine Learning
Nonlinear Regression and Classification
Unsupervised Variable Selection
Clustering Stability
Interpretable Neural Networks

File:

Download BeomseokSeo-Dissertation.pdf

Committee Members:

Ephraim Hanks, Major Field Member
Lin Lin, Co-Chair of Committee
Jia Li, Co-Chair & Dissertation Advisor
John Yen, Outside Unit & Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Walder, Adam

Title:

Advances in Spatial Statistics and Inference Methods for Markov Population Models

Graduate Program:

Statistics (PHD)

Keywords:

Spatial Generalized Mixed Models
Bayesian Privacy
Markov Population Models
Laplace Approximations
Laplace Moving Average Models

File:

Download AdamWalder-Dissertation.pdf

Committee Members:

Matthew Ferrari, Outside Unit & Field Member
Ephraim Hanks, Chair & Dissertation Advisor
Aleksandra Slavkovic, Major Field Member
Murali Haran, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Srinivasan, Arun

Title:

Topics on High-Dimensional Statistical Methods for Compositional Data

Graduate Program:

Statistics (PHD)

Keywords:

compositional data analysis
robust statistics
human microbiome
high-dimensional statistics
covariance estimation
knockoff filter
variable selection
tyler's m-estimator
huber's m-estimator

File:

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Committee Members:

Lingzhou Xue, Chair & Dissertation Advisor
Xiang Zhan, Outside Unit & Field Member
Runze Li, Major Field Member
Francesca Chiaromonte, Major Field Member
Ephraim Hanks, Professor in Charge/Director of Graduate Studies

Author:

Lee, Seong Ho

Title:

Contributions to semiparametric inference and its applications

Graduate Program:

Statistics (PHD)

Keywords:

robustness
semiparametrics
semiparametric efficiency

File:

Download Dissertation_Seong-ho_Lee.pdf

Committee Members:

Bing Li, Professor in Charge/Director of Graduate Studies
Bharath Kumar Sriperumbudur, Major Field Member
Yanyuan Ma, Chair & Dissertation Advisor
Bing Li, Major Field Member
Necdet Aybat, Outside Unit & Field Member

Author:

Liu, Shuo Shuo

Title:

Statistical Learning on High-Dimensional Multi-Source Data

Graduate Program:

Statistics (PHD)

Keywords:

Transfer Learning
Multi-View Clustering
High-Dimensional Data
Machine Learning

File:

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Committee Members:

Bing Li, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Major Field Member
Lan Kong, Outside Unit & Field Member
Matthew Reimherr, Major Field Member
Runze Li, Chair & Dissertation Advisor

Author:

Vishwanath, Siddharth

Title:

Statistical Learning for Robust Topological Inference

Graduate Program:

Statistics (PHD)

Keywords:

Topological data analysis
Topological inference
Statistical learning
Robust statistics
Generative models
Learning on graphs
Differential privacy

File:

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Committee Members:

Bharath Kumar Sriperumbudur, Chair & Dissertation Advisor
Alexei Novikov, Outside Unit & Field Member
Kenji Fukumizu, Special Member
Aleksandra Slavkovic, Major Field Member
Satoshi Kuriki, Special Member
Nicole Lazar, Major Field Member
Bing Li, Professor in Charge/Director of Graduate Studies