The use of mixture density networks in the emulation of complex epidemiological individual-based models
Complex, highly-computational, individual-based models are abundant in epidemiology. For epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle are required in order to produce accurate results. This can often lead to models that are computationally...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020
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