Bayesian Dynamical Modeling of Count Data
Lili Zhuang · OhioLink ETD Center (Ohio Library and Information Network) · 2011
Problems involving discrete data, especially count data, are increasingly common in many important fields, such as cancer mapping and influenza epidemiology.Compared to a large amount of highly developed attractive models for spatio-temporal continuous data (e.g., Cressie and Wikle, 2011), modeling the underlying dynamical process for count data is less well advanced.My deep and sincere gratitude first and foremost goes to my advisor, Dr. Noel Cressie, for his inspirational and patient guidance, general support, and unselfish help.