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Proposing automatic differentiation for modeling #552

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rashmiraj137 opened this issue Apr 11, 2021 · 2 comments
Closed

Proposing automatic differentiation for modeling #552

rashmiraj137 opened this issue Apr 11, 2021 · 2 comments
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enhancement Improve existing functionality. low-priority Low-priority issues.

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@rashmiraj137
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rashmiraj137 commented Apr 11, 2021

What efficiency can be introduced in stingray using automatic differentiation / variational inference for stochastic systems? Inherently the mathematical modeling using modern methods will be improved as compared to the current infrastructure of NumPy and Scipy libraries and will be easier to implement too but what are major drawbacks in the current design or to reframe it better: what impact do these modern statistical modelings bring to stingray?

@abigailStev
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Hi @rashmiraj137, what specific ideas did you have to enhance or replace a Stingray modeling tool? Is there a specific use case that is weirdly slow that we need to speed up? It would be great if you could also reference the items in this issue: #520

@abigailStev abigailStev added enhancement Improve existing functionality. low-priority Low-priority issues. labels Feb 18, 2022
@abigailStev abigailStev changed the title Problems associated with parametric modelling of Fourier products and light curves Proposing automatic differentiation for modeling Feb 18, 2022
@matteobachetti matteobachetti added wontfix "I tried fixing this, and it won't fix!" and removed wontfix "I tried fixing this, and it won't fix!" labels Jan 5, 2024
@matteobachetti
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Closing this

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Labels
enhancement Improve existing functionality. low-priority Low-priority issues.
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