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@alexlin0 @dbankieris @jmpenn I think only the master should broadcast. What do y'all think?
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In figaro 1.4.0 and later the `likelihood.py` file no longer exists and the log_norm function is in `_likelihood.py` instead.
https://github.com/sterinaldi/FIGARO/blob/main/figaro/_likelihood.py#L41
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(Part-2) Assignment -->[MC- Assignment.docx](https://github.com/eebeohar/ANT/files/8575393/MC-.Assignment.docx)
Output graphs -->
![1dRWalk](https://user-images.githubusercontent.com/89722969/165594…
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Are the confidence percentages for the results of the Monte Carlo simulation on the basic statistics spreadsheet round the wrong way?
I took this spreadsheet to be used as follows, given my data fo…
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Create a sample that shows how to take advantage of Cloud Batch for distributed computation examples where nodes talk to each other in a low latency network. The example will will run multiple copies …
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Nishimura et all (2020) propose an HMC integrator that should work well discontinous likelihoods and hence also for discrete parameters. I was wondering if this could be added to AdvancedHMC as it h…
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Some of the Simpson Desert tests occasionally fail in GH actions test runs. This is probably because they test the closeness of our Monte Carlo results to theoretical results, and there's always some …
abyrd updated
12 months ago
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I have some abstract game I would like to analyse for starting player advantage and how likely it is to draw.
Is there some support for running a lot of full AI runs and see aggregate results?
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I wanted to try the Monte Carlo option with many random ignition location and use the CALCULATE_BURN_PROBABILITY = .TRUE. option which is mentionend in the documentation (https://elmfire.io/user_guid…