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Author:

Park, Jaewoo

Title:

COMPUTATIONAL METHODS FOR MODELS WITH INTRACTABLE NORMALIZING FUNCTIONS

Graduate Program:

Statistics

Keywords:

Markov chain Monte Carlo
doubly intractable distributions
exponen- tial random graph models
Markov point processes
importance sampling
Gaussian processes
non-Gaussian spatial data
dimension reduction
Monte Carlo maximum likelihood

File:

Download JParkThesis.pdf

Committee Members:

Murali Haran, Dissertation Advisor/Co-Advisor
Murali Haran, Committee Chair/Co-Chair
Le Bao, Committee Member
Benjamin Adam Shaby, Committee Member
Matthew Joseph Ferrari, Outside Member