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Author:

Liu, Yang

Title:

Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics

Graduate Program:

Statistics

Keywords:

Data integration
Genomics
Ordinary least squares
Structured data
Sufficient dimension reduction
Variable selection

File:

Download YangLiu-Dissertation_081615.pdf

Committee Members:

Francesca Chiaromonte, Dissertation Advisor/Co-Advisor
Francesca Chiaromonte, Committee Chair/Co-Chair
Bing Li, Committee Member
Runze Li, Committee Member
Yu Zhang, Committee Member
Mary Poss, Committee Member

Author:

Artemiou, Andreas A

Title:

Topics on Supervised and Unsupervised Dimension Reduction

Graduate Program:

Statistics

Keywords:

Unitary invariance
Regression
Kernel principal components
Sufficient Dimension Reduction
Support Vector Machines

File:

Download Dissertation_doc.pdf

Committee Members:

Bing Li, Committee Chair/Co-Chair
Runze Li, Committee Member
Michael Akritas, Committee Member
Francesca Chiaromonte, Committee Member
Adam Smith, Committee Member

Author:

Mirshani, Ardalan

Title:

Regularization Methods In Functional Data Analysis

Graduate Program:

Statistics

Keywords:

Functional Data
Differential Privacy
Hilbert Space
Variable Selection
Reproducing Kernel Hilbert Space
Oracle Property
Elastic Net
Smooth Estimate
Density Estimation

File:

Download PhD_Thesis__Ardalan_Mirshani_.pdf

Committee Members:

Matthew Logan Reimherr, Dissertation Advisor/Co-Advisor
Matthew Logan Reimherr, Committee Chair/Co-Chair
Runze Li, Committee Member
Francesca Chiaromonte, Committee Member
Kateryna Dmytrivna Makova, Outside Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Nandy, Debmalya

Title:

COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS

Graduate Program:

Statistics

Keywords:

Fisher information
Density information
Supervised problems
Sufficient dimension reduction
Feature screening
Ultrahigh dimension
Bootstrap

File:

Download PennState_StatisticsPhDDissertation_Final_eTD_081619.pdf

Committee Members:

Francesca Chiaromonte, Dissertation Advisor/Co-Advisor
Francesca Chiaromonte, Committee Chair/Co-Chair
Runze Li, Committee Member
Bing Li, Committee Member
Kateryna Dmytrivna Makova, Outside Member
Lingzhou Xue, Committee Member
Weixin Yao, Special Member

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