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Author:

Lee, Hyunsook

Title:

Two Topics: A Jackknife Maximum Likelihood Approach to Statistical Model Selection and a Convex Hull Peeling Depth Approach to Nonparametric Massive Multivariate Data Analysis with Applications

Graduate Program:

Statistics

Keywords:

Kullback-Leibler distance
information criterion
statistical model selection
jackknife
jackknife information criterion
bias reduction
maximum likelihood
unbiased estimation
non-nested model
computational geometry
convex hull
convex hull peeling
statistical data depth
nonparametric statistics
generalized quantile process
descriptive statistics
skewness
kurtosis
volume functional
convex hull level set
massive data
outlier detection
balloon plot
multivariate analysis

File:

Download hlee.pdf

Committee Members:

G Jogesh Babu, Committee Chair/Co-Chair
Thomas P Hettmansperger, Committee Member
Bing Li, Committee Member
William Kenneth Jenkins, Committee Member
James Landis Rosenberger, Committee Member

Author:

Hummel, Ruth M

Title:

IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS

Graduate Program:

Statistics

Keywords:

composite likelihood
penalized likelihood
pseudolikelihood
maximum likelihood estimation
exponential random graph model
bias correction
Mean value parameterization
%Maximum likelihood estimation
parameter estimation
Markov chain Monte Carlo
Exponential family random graph model
contrastive divergence
exponential families
convex hull

File:

Download RuthMHummel-Dissertation.pdf

Committee Members:

David Russell Hunter, Dissertation Advisor/Co-Advisor
David Russell Hunter, Committee Chair/Co-Chair
James Landis Rosenberger, Committee Member
Murali Haran, Committee Member
Scott David Gest, Committee Member