Public health surveillance is a special case of the general problem where counts (or rates) of events are monitored for changes. Modern data complements event counts with many additional measurements (such as geographic, demographic, and others) that comprise high-dimensional covariates. This leads to an important challenge to detect a change that only occurs within a region, initially unspecified, defined by these covariates.
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- Partial requirement for: Ph.D., Arizona State University, 2010Note typethesis
- Includes bibliographical references (p. 141-148)Note typebibliography
- Field of study: Industrial engineering