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I'm not sure if this is the right place to post this, but I work with medical record datasets, which consist of continuous-time sequences of complex events, with multi-modal structured data recorded i…
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The continuous ranked probability score (CRPS) is a popular and strictly proper scoring rule for probabilistic models and forecasts which has some advantages over the so-called log-score (equivalent t…
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Hello,
I'm attempting to fit an AFT Weibull model with flexsurvreg, which, if I understand from the help page on the function, should be the default model that the function fits when you specify th…
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When you're done, write your takeaways from the chapter in a comment on this issue, then remove yourself as an Assignee. Last one to do so closes the issue.
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When you recover from COVID, can we discuss implementing other methods for prediction Intervals besides the naive method?
I have code for the Jacknife+
https://www.stat.cmu.edu/~ryantibs/papers/ja…
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**Date accepted:** 2022-09-20
Submitting Author Name: Eunseop Kim
Submitting Author Github Handle: @markean
Repository: https://github.com/markean/melt
Version submitted: 1.6.0.9000
Submissio…
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Dear @takuseno,
I was trying build a categorical critic (c51) from the paper [A Distributional Perspective on Reinforcement Learning](https://arxiv.org/pdf/1707.06887.pdf) into your d3rlpy library. …
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I am trying to use the horseshoe prior approach in the context of a Cox regression and I get an error which looks like not all data is given to the generated Stan program. Here is a toy example:
``…
wds15 updated
2 years ago
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I'm looking into the code for the xgboostlss class and it seems like the validation metric is hardcoded to use negative log-likelihood. Is there going to be flexibility to define the validation metric…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD