Explore projects
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Pseudomarginal inference on SIR and SIS models, motivated by Rebecca Lester's community study...hence the package name.
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Repository containing the Covid19UK pipeline
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Claudio Fronterre / covid19uk
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GEM / gem
MIT LicenseGEM epidemic modelling software base -- https://gem.readthedocs.io/en/latest/Updated -
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Lisa Koeppel / PyMC3_Epi_Extension
MIT LicenseThis project contains the Python code for the PhD thesis titled "Joint epidemic and spatio-temporal approach for modelling disease outbreaks" at Lancaster University supervised by Dr. Chris Jewell and Prof. Dr. Peter Neal.
It provides an extension to the Python probabilistic programming library PyMC3 with a sampler to effectively impute missing infection and removal time data. Furthermore, it integrates a mechanistic modeling approach into an epidemiological modeling setting.
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Lisa Koeppel / pymc3SamplerProject
MIT LicenseUpdated -
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Scripts for reproducing the results in our paper on high-dimensional prediction over subgroups.
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