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Start Over Degree PHD Committee Member Runze Li Committee Member Tao Yao

1. THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES

open_access
Open Access
Author:
Li, Jiahan
Title:
THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES
Graduate Program:
Statistics
Keywords:
lasso
variable selection
Bayesian approach
high-dimensional data
File:
Download JiahanLi-Dissertation.pdf
Committee Members:
Rongling Wu, Dissertation Advisor/Co-Advisor
Rongling Wu, Committee Chair/Co-Chair
Runze Li, Committee Chair/Co-Chair
Bruce G Lindsay, Committee Member
Tao Yao, Committee Member

2. nonsmooth optimization with applications in network design and machine learning

open_access
Open Access
Author:
Liu, Hongcheng
Title:
nonsmooth optimization with applications in network design and machine learning
Graduate Program:
Industrial Engineering
Keywords:
Nonsmooth optimization
machine learning
network design
folded concave penalty
sparse recovery
File:
Download HongchengLiu_new-Dissertation-copy.pdf
Committee Members:
Tao Yao, Committee Chair/Co-Chair
Terry Lee Friesz, Committee Chair/Co-Chair
Necdet S Aybat, Committee Member
Runze Li, Committee Member

3. Efficient parameter estimation methods using quantile regression in heteroscedastic models

open_access
Open Access
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

4. On addressing nonconvexity, stochasticity and complementarity in mathematical optimization

open_access
Open Access
Author:
Xie, Yue
Title:
On addressing nonconvexity, stochasticity and complementarity in mathematical optimization
Graduate Program:
Industrial Engineering
Keywords:
nonconvex optimization
stochastic optimization
statistical learning
algorithm
variational inequality
robust optimization
File:
Download Yue_Xie-Disseration_finalsubmitted_.pdf
Committee Members:
Uday V Shanbhag, Dissertation Advisor/Co-Advisor
Uday V Shanbhag, Committee Chair/Co-Chair
Necdet S Aybat, Committee Member
Tao Yao, Committee Member
Runze Li, Outside Member
Ethan Fang, Committee Member

5. Topics in High-dimensional Statistical Inference

open_access
Open Access
Author:
Li, Changcheng
Title:
Topics in High-dimensional Statistical Inference
Graduate Program:
Statistics
Keywords:
Hotelling T2 test
Multiple sample mean test
Projection test
Two-sample mean test
Causal structural learning
Causal discovery
Causal graphical models
D-separation set
Generalized Method of Moments
File:
Download ChangchengLi-Dissertation.pdf
Committee Members:
Runze Li, Dissertation Advisor/Co-Advisor
Runze Li, Committee Chair/Co-Chair
Bing Li, Committee Member
Xingyuan Fang, Committee Member
Tao Yao, Outside Member

6. HIGH DIMENSIONAL STATISTICAL LEARNING AND DECISION MAKING

open_access
Open Access
Author:
Wang, Xue
Title:
HIGH DIMENSIONAL STATISTICAL LEARNING AND DECISION MAKING
Graduate Program:
Industrial Engineering
Keywords:
High Dimensional Learning
Statistical Learning
Decision Making
Optimization
File:
Download Xue_Wang_Dissertation.pdf
Committee Members:
Tao Yao, Dissertation Advisor/Co-Advisor
Tao Yao, Committee Chair/Co-Chair
Vinayak V Shanbhag, Committee Member
Runze Li, Committee Member
Xingyuan Fang, Outside Member