[ANN-RFC] KissABC.jl- Approximate Bayesian Computation

@pjentsch0
Sorry for bumping this old thread, but do you remember if you ever managed to get similar results with SMC as with the older DE method?

I’m trying to tune the parameters for my own model and wondering which one I should focus on.

No problem!

I did not ever get similar results with SMC.

@francesco.alemanno are you still working on this package?

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Did not get the chance unfortunately.
I’m no longer working on indirect inference problems, although I would gladly review&accept a PR (from a benevolent contributor :D) to improve existing algorithms/add some other algorithm.

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H! Is there a correct way to cite this package in publications?

Thanks,
Simone.

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Actually no, there is no article where ‘KissABC’ is described and no permanent repository (e.g. Zenodo) for it. Furthermore, the package has never undergone a rigorous validation process.

Signed: the author.

Thanks for replying.
Best,
Simone.

Does smc() function doesn’t calculate weight in current KissABC.jl package ? I went through source code and i’m not sure where exactly its calculating weights for accepted particles.