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Author:

Yu, Ye

Title:

New Procedures for Cox's Model with High Dimensional Predicotrs

Graduate Program:

Statistics

Keywords:

Cox's model
Partial Likelihood
ultrahigh dimensional survival data
model selection consistency
Penalized Likelihood

File:

Download Ye_Dissertation.pdf

Committee Members:

Runze Li, Dissertation Advisor/Co-Advisor
Matthew Logan Reimherr, Committee Member
Lingzhou Xue, Committee Member
Lan Kong, Committee Member

Author:

Wang, Ningtao

Title:

A Block Mixture Model To Map Eqtls For Gene Clustering

Graduate Program:

Statistics

Keywords:

block mixture model
eQTL
gene cluster

File:

Download Ningtao_Wang-Dissertation.pdf

Committee Members:

Rongling Wu, Dissertation Advisor/Co-Advisor
Runze Li, Dissertation Advisor/Co-Advisor
Lingzhou Xue, Committee Member
John Edward Carlson, Committee Member

Author:

Chu, Wanghuan

Title:

Feature Screening For Ultra-high Dimensional Longitudinal Data

Graduate Program:

Statistics

Keywords:

Feature screening
ultra-high dimensional data
longitudinal genetic study

File:

Download Chu_Thesis.pdf

Committee Members:

Runze Li, Dissertation Advisor/Co-Advisor
Runze Li, Committee Chair/Co-Chair
Matthew Reimherr, Committee Member
Lingzhou Xue, Committee Member
Donna Coffman, Outside Member

Author:

Xu, Zhanxiong

Title:

Efficient parameter estimation methods using quantile regression in heteroscedastic models

Graduate Program:

Statistics

Keywords:

quantile regression
heteroscedastic models
optimal weighting
composite quantile regression

File:

Download Final_Dissertation.pdf

Committee Members:

Zhibiao Zhao, Dissertation Advisor/Co-Advisor
Zhibiao Zhao, Committee Chair/Co-Chair
Runze Li, Committee Member
Lingzhou Xue, Committee Member
Tao Yao, Outside Member

Author:

Lee, Kevin Haeseung

Title:

Statistical Learning of Complex Large-Scale Dynamic Systems

Graduate Program:

Statistics

Keywords:

Statistical learning
Model-based clustering
Dynamic networks
Graphical model
EM algorithm
Variational inference

File:

Download Kevin_Lee_Dissertation.pdf

Committee Members:

Lingzhou Xue, Dissertation Advisor/Co-Advisor
Lingzhou Xue, Committee Chair/Co-Chair
David R. Hunter, Committee Member
Runze Li, Committee Member
Nanyin Zhang, Outside Member
Mark S. Handcock, Special Member

Author:

Wang, Chuan-Sheng

Title:

SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL

Graduate Program:

Statistics

Keywords:

Bootstrap
Conditional expected shortfall
Conditional Value-at-Risk
Nonlinear time series
Quantile regression
Semiparametric methods

File:

Download Chuan-Sheng_s_Dissertation_-_Final.pdf

Committee Members:

Zhibiao Zhao, Dissertation Advisor/Co-Advisor
Zhibiao Zhao, Committee Chair/Co-Chair
Runze Li, Committee Member
Lingzhou Xue, Committee Member
Fuqing Zhang, Outside Member

Author:

Yu, Xiufan

Title:

Nonparametric Estimation of Sufficient Forecasting with a Diverging Number of Factors

Graduate Program:

Statistics

Keywords:

factor model
forecasting
principal components
high-dimensional predictors
nonparametric estimation
predictive inference

File:

Download MSThesis.pdf

Committee Members:

Runze Li, Thesis Advisor/Co-Advisor
Lingzhou Xue, Thesis Advisor/Co-Advisor
Bing Li, Committee Member
Ephraim Mont Hanks, Committee Member

Author:

Liu, Wanjun

Title:

New Statistical Tools for High-dimensional Data Modeling

Graduate Program:

Statistics

Keywords:

High-dimensional data
Hypothesis testing
Feature screening
Regularized method

File:

Download Wanjun_Dissertation.pdf

Committee Members:

Runze Li, Dissertation Advisor/Co-Advisor
Runze Li, Committee Chair/Co-Chair
Lingzhou Xue, Committee Member
Xingyuan Fang, Committee Member
Tao Yao, Outside Member

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:

Liu, Bingyuan

Title:

Topics on Nonconvex Learning

Graduate Program:

Statistics

Keywords:

Nonconvex optimization
machine learning
statistical learning
deep learning

File:

Download Thesis_BingyuanLiu.pdf

Committee Members:

Lingzhou Xue, Dissertation Advisor/Co-Advisor
Runze Li, Committee Member
Bing Li, Committee Member
Yanyuan Ma, Committee Member
Zihan Zhou, Outside Member
Ephraim Mont Hanks, Program Head/Chair
Lingzhou Xue, Committee Chair/Co-Chair