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We're now using the McRAPTOR algorithm for analysis of Pareto-optimal transit fares and travel time searches. It has a number of things in it that happen randomly (the main one being a constrained ran…
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In the model page (https://github.com/unit8co/darts?tab=readme-ov-file#forecasting-models) we can see that for AutoARIMA and StatsforecastAutoCES probabilistic forecasting is set to not applicable but…
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There are many articles on control charts for zero-inflated count data, many published in the last two years
(I only skimmed abstracts)
just one reference to an overview article
Mahmood, Tahir…
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see #2297 for implementation and use
local FDR is based on Efron Statistical Science 2008, with reference to R package
that paper refers to
Efron, Bradley; Tibshirani, Robert. Using specially desig…
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Hello,
Are there any tests in the test suite that validate the stochastically generated noise against the Adev plots?
For example (half-pseudocode):
```python
samples = int(1e6)
data = nois…
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Hi, this package is great. I'm wondering if it would be possible to add standard errors/confidence intervals to the output of predict.fixest? I realize that might be quite a bit of work, though.
Re…
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The `summary` for `lm` models is good, but a few optional extras would be nice.
For example, for the coefficients table, we might like
- confidence intervals
- vif
- standardized coefficients
…
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![image](https://user-images.githubusercontent.com/56234378/216772301-09b028b8-840a-4be9-aa3f-044475a939fd.png)
makes currently a lot of sense when we have a bimodal distribution but makes little sen…
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I am a seq2seq beginner so these are just my 2 cents. Correct me if I'm wrong.
* Variable length output
* Add weights to the loss function. e.g. the first few predicted points have bigger weights.…
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In the TreeTime .nexus output I get a huge negative branch len followed by another large on for the corresponding leaves:
```
...
((7ab5cd3e-524b-4f3e-9951-04d783bcef78:28113.25709,5abe8078-fdb6-…