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Poisson and negative binomial distributions for parameter priors and noise models #653

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@dweindl

Consider adding the Poisson and negative binomial distributions for parameter priors and noise models for PEtab v2.

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  1. sebapersson commented on Nov 21, 2025

    @sebapersson
    Contributor

    As both are discrete distributions I am unsure whether this would make sense for parameters (as we only allow continuous parameters right?). As for measurement data, would the user scenario correspond to the user having count-data?

  2. dilpath commented on Nov 21, 2025

    @dilpath
    Member

    As for measurement data, would the user scenario correspond to the user having count-data?

    Yes; they were used frequently for COVID-19 models, including the Bertozzi model in the benchmark collection.

  3. sebapersson commented on Nov 21, 2025

    @sebapersson
    Contributor

    As for measurement data, would the user scenario correspond to the user having count-data?

    Yes; they were used frequently for COVID-19 models, including the Bertozzi model in the benchmark collection.

    Then I think it sounds like a good idea! I guess in this scenario it would be beneficial if the linter checks that there is count data?

  4. self-assigned this
    on Dec 2, 2025
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