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Hi, I am interested in a time decayed version of TDigest. I saw there was a discussion about it in issue #127. Has there been any progress about this problem ?
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Some resources to learn more about parallel graph algorithms and pick a topic of interest
Reading list:
- Chapters 1-6 of [Guide to graph algorithms: sequential, parallel, distributed](https://b…
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Hi, I am creating this as a general-purpose issue for this imputation task. As a preliminary step, here is my understanding of our proposed methodology for this task (using P22250 as a test case).
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*Context*: see https://github.com/rust-ml/discussion/issues/1.
This is meant to be a list of functionality we want to implement (a roadmap?) - I have refrained from including more sophisticated met…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
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As we've discussed, at present the tax-microdata-benchmarking optimization approach does not penalize changes in weights, and simply seeks to minimize differences in weighted sums from IRS-based targe…
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I see some activity on particular aspects of "reporting", for instance in #102. But inside the `pushgp` loop is a lot of intermingled and overlapping reportage.
I'd like to sketch a (big) refactoring…
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Adam Sales brought to my attention some examples in which chisquare statistics and degrees of freedom are reported, both precisely the same. There was a one-stratum case and a matched case, both with…
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Hello :)
I have outlined the request (an 'issue' at the time of posting it at the forum but I've since been told that it is not possible in the current version of JASP) at the link below,
https:…
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Thanks for creating this really nice package. I particularly like that `chop()` can handle singletons, which is perfect for dealing with point masses in data, and the labelling flexibility for the res…