Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases Page: Title Page
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BAYESIAN PROBABILISTIC REASONING APPLIED TO MATHEMATICAL
EPIDEMIOLOGY FOR PREDICTIVE SPATIOTEMPORAL
ANALYSIS OF INFECTIOUS DISEASES
Kaja Moinudeen Abbas
Dissertation Prepared for the Degree of
DOCTOR OF PHILOSOPHY
UNIVERSITY OF NORTH TEXAS
Armin Mikler, Major Professor
Samuel Atkinson, Committee Member
Yan Huang, Committee Member
Roy T. Jacob, Committee Member
Joseph Oppong, Committee Member
Krishna Kavi, Chair of the Department of
Computer Sciences and Engineering
Oscar Garcia, Dean of the College of
Sandra L. Terrell, Dean of the Robert B.
Toulouse School of Graduate Studies
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Abbas, Kaja Moinudeen. Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases, dissertation, May 2006; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc5302/m1/1/: accessed November 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .