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Moments parameterization #99

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aimalz opened this issue Jun 14, 2022 · 4 comments
Open

Moments parameterization #99

aimalz opened this issue Jun 14, 2022 · 4 comments
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enhancement New feature or request parameterization new/upgraded PDF parameterization need

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@aimalz
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aimalz commented Jun 14, 2022

@elts6570 found an implementation of approximating a PDF from its moments.

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@aimalz The code is called pymaxent and can be downloaded here: https://github.com/saadgroup/PyMaxEnt. It has no pip package, so I downloaded src/pymaxent.py locally.

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aimalz commented Jun 28, 2022

Just to sync this with the discussion in LSSTDESC/bayesian-pipelines-cosmology#5, this is probably not the best option for this parameterization.

Update: PyMaxEnt might be okay after all, pending some modification of the default way of obtaining moments illustrated here.

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aimalz commented Jul 12, 2022

A good sprint day activity would be to tackle this issue, since @elts6570 has implemented a successful PDF reconstruction in a notebook here.

@aimalz aimalz added the good first issue Good for newcomers label Jul 12, 2022
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aimalz commented Nov 8, 2022

This issue subsumes #96, so I'm closing that one but referencing it here so the discussion is still accessible.

@aimalz aimalz added parameterization new/upgraded PDF parameterization need and removed good first issue Good for newcomers labels Dec 6, 2022
@aimalz aimalz added the enhancement New feature or request label Jun 8, 2023
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Labels
enhancement New feature or request parameterization new/upgraded PDF parameterization need
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