Regularized Numerical Algorithms For Stable Parameter Estimation In Epidemiology And Implications For Forecasting
When an emerging outbreak occurs, stable parameter estimation and reliable projections of future incidence cases using limited (early) data can play an important role in optimal allocation of resources and in the development of effective public health intervention programs. However, the inverse para...
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| Format: | Others |
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ScholarWorks @ Georgia State University
2017
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| Online Access: | http://scholarworks.gsu.edu/math_diss/45 http://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1050&context=math_diss |