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Author ORCID Identifier
https://orcid.org/0000-0003-4638-7514
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Mathematics
Year Degree Awarded
2022
Month Degree Awarded
February
First Advisor
Krista J. Gile
Subject Categories
Statistical Methodology | Statistical Models
Abstract
Over the past decade, network research has increased dramatically. Network data are used in many fields because they contain not only covariates of each observation, but also `relationships' between observations. Therefore, statistical analysis of network data has been rapidly developed. However, network data presents many challenges, such as collecting network data, inferring the prevalence of an outcome of interest, and valid statistical testing typically with highly dependent data. The methods discussed in this thesis are developed to improve statistical inference from dependent network data.
DOI
https://doi.org/10.7275/27174816
Recommended Citation
Kim, Dongah, "Methods to improve inference from dependent network data" (2022). Doctoral Dissertations. 2429.
https://doi.org/10.7275/27174816
https://scholarworks.umass.edu/dissertations_2/2429