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Use histogram as both prior and input data? #344
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Sure, that should work! EmpiricalDistributions.jl turns histograms into (stepwise, no KDE capability and gradient yet, so not compatible with HMC) distributions, which can just be plugged into a The likelihood can use an arbitrary log-likelihood function, that has to be written, of course.
The uncertainty is on the expectation? |
as of:
we can use histogram as prior, in HEP (as @oschulz knows), the input data is also histogram (with same binning of course), and each uncertainty variation as one additional histogram.
Can we run likelihood for parameter extraction in such case?
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