Add functionality for computing posteriors #312
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dweindl
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Dec 11, 2024
Introduces `Prior` and `Distribution` classes for handling PEtab-specific prior distributions, and (PEtab-version-invariant) univariate probability distributions. Supports sampling from them, and evaluating negative log-priors (#312). Later on, this can be extended to noise models for measurements and computing loglikelihoods. This also adds a notebook demonstrating the various prior options which are a common source confusion. Closes #311. :eyes: notebook: https://petab--329.org.readthedocs.build/projects/libpetab-python/en/329/example/distributions.html
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So far, we only have functions for computing the likelihood based on some simulation results (
calculate_llh_for_table). It would be convenient to also have some correspondingcalculate_posterior_for_tablefunction. This should simplify, e.g., PEtab-dev/petab_test_suite#60. Ideally, #311 should be implemented first.The text was updated successfully, but these errors were encountered: