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  1. Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

    Python 58 16

  2. Modeling stellar photometry with "brute force" methods

    Python 7 1

  3. A photometric redshift monstrosity

    Python 8 2

  4. Outlining the role of typical sets in (MCMC) sampling

    Jupyter Notebook 1

202 contributions in the last year

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Contribution activity

March 2019

Created an issue in joshspeagle/dynesty that received 2 comments

covariance structure with balls and cubes

One downside to the current implementation of Johannes Buchner's RadFriends ('balls') and SupFriends ('cubes') is that it is unnecessarily slow (see

2 comments

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