Iterated filtering methods for Markov process epidemic models

8 Dec 2017Theresa Stocks

Dynamic epidemic models have proven valuable for public health decision makers as they provide useful insights into the understanding and prevention of infectious diseases. However, inference for these types of models can be difficult because the disease spread is typically only partially observed e.g. in form of reported incidences in given time periods... (read more)

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