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Assessing the calibration of MCMC implementation #12

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jamesuanhoro opened this issue Feb 26, 2024 · 1 comment
Closed

Assessing the calibration of MCMC implementation #12

jamesuanhoro opened this issue Feb 26, 2024 · 1 comment

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@jamesuanhoro
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Since you wrote the MCMC sampling algorithms, it would be good to have some guarantees that the program produces calibrated Bayesian inference.

To my knowledge, the best way to assess this is simulation based calibration, see recent developments in: https://hyunjimoon.github.io/SBC/

So my recommendation is to conduct an SBC study possibly using a smaller version of the example study for speed.

Open to discussion about this.

openjournals/joss-reviews/issues/6220

@limengbinggz
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Thank you for pointing this interesting paper to us! We have conducted a simple validation of our algorithm, and the result has been added as a document in algorithm_validation.pdf.

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