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Use a prior, maybe the luminosity functions from the Magellanic Clouds, to constrain the luminosities. Then use observations to generate a posterior distribution. This would be a problem for highly-ev…
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www.hunch.net
http://fastml.com/bayesian-machine-learning/
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
https://www.reddit.com/r/MachineLearning/comme…
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We need an interface, similar to the grid API, for doing BO in H2O.
This task is composed of
- [ ] https://github.com/h2oai/h2o-3/issues/15834
- [ ] https://github.com/h2oai/h2o-3/issues/15835
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Hi @akwon31 !!!
I notice your working on the cointegration part. Loving your work so far in package.
Would it be worth adding the below?
https://github.com/bayesiancointegration/python?files=1
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HI
I opened this issue to discuss the implementation of the acquisition functions that you said you would like to make a feature in #48. I am interested in contributing. where should it be implemente…
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There are a number of factors that make the direct conversion of a cobra model into a stoichiometric matrix for Bayesian MCA challenging.
1. Bayesian MCA does not handle zero flux reactions well.
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We can add a few example Turing models or Bayesian workflow following this: https://prefix.dev/
yebai updated
1 month ago
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Currently, the user guide is very short and only gives you a quick introduction to smash. Other sections need to be added to the user guide. There is already an issue about bayesian estimation case st…
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Hello,
I want to use 21CMMC to compare different models against some data sets.
I want to perform a Bayesian model comparison to do so.
Since 21CMMC already has the `MultiNest` sampler,
is t…