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Hi OPS developers. These days I'm trying to reproduce the result published in [here](https://pubs.acs.org/doi/10.1021/acs.jpclett.1c03837). In this article, the author computes the relative rate const…
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#### Summary:
The step size adaptation targets a suboptimal "acceptance statistic".
#### Description:
About two and half years ago issue #2789 pointed out a problem with the calculation of th…
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Hello, I ran [SMC Demo](https://colab.research.google.com/github/tensorflow/probability/blob/main/tensorflow_probability/python/experimental/mcmc/examples/smc_demo.ipynb#scrollTo=wVAHGzn4E24-) and whe…
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- Abstract (2-3 lines)
Simulation-based inference is a technique that uses normalizing flows, GANs, and variational inference to perform likelihood-free Bayesian machine learning. SBI has applicat…
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See discussion in #84 and #86 . #86 implemented very basic infrastructure for parameter manipulation. Some other things we will likely need:
- `GetParameterIDs`, getting all parameter IDs for a partic…
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How do you like something very simple, I think you don't have that yet:
https://gist.github.com/mschauer/be1196dedbf8afe7fb8a0b411672b4d6
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Hello,
Is it possible to use Chrom3D on single cell Hi-C contact matrix only and get the (x,y,z) coordinates of the output 3D structure instead of .cmm file? If yes, an example script would be very…
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I was thinking in BASTIONfit_cpp to move the normal to a class.
It is in order to build poisson model as just a new class.
What do you think?
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I need to learn the parameters of a Normal distribution for which it is common to assume Normal, Gamma or InverseGamma priors. Is it enough to extend the `AtomicNormal`, `AtomicGamma` and `AtomicInver…
svepe updated
8 years ago
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In email conversation, @bknaepen said his curriculum included Monte Carlo, a topic we've not covered in numerical-mooc. Recently, I talked with @afeiguin (Adrian) who teaches a computational physics c…