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gaussian.py discrepancy between theory and simulated result #37
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One thing I noticed in the prior is, that it is is not sampling symmetrically around 0.
I think it is meant to be like this:
But that doesn't fix the issue. |
So if i check the posteriors for the C++ version of this example (PR #38) I get: There are some clear visible differences. I will try to investigate if they arise within the gaussian.py file. |
Thanks for looking into it. I'm very occupied at the momentSent from my Galaxy
-------- Original message --------From: Johann Fredrik Jadebeck ***@***.***> Date: 31/08/21 00:15 (GMT+12:00) To: eggplantbren/DNest4 ***@***.***> Cc: Subscribed ***@***.***> Subject: Re: [eggplantbren/DNest4] gaussian.py discrepancy between theory and simulated result (#37)
So if i check the posteriors for the C++ version of this example (PR #38) I get:
which is quite different from
There are some clear visible differences. I will try to investigate if they arise within the gaussian.py file.
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So in the C++-Version it seems to get close enough to the analytical solution. |
Hey,
I was just running the gaussian.py example locally and I found
log(Z) = -14.94080654452895 [exact log(Z) = -11.512928331486771]
Is this discrepancy between the sampled and theoretical result expected?
I've appended the .txt files that are created during sampling to this issue.
Thanks!
levels.txt
sample.txt
sample_info.txt
sample_log_X.txt
sampler_state.txt
stats.txt
weights.txt
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