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We have several open issues for this. e.g. #852, #1668, #2362
The attempt that is currently most integrated with patsy is in an extension of https://github.com/statsmodels/statsmodels/issues/2687#iss…
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I have been going through the pytorch documentation of conv2D. Reading the docs from pytorch I see
`torch.nn.Conv2d(in_channels: int, out_channels: int, kernel_size: Union[T, Tuple[T, T]], stride: …
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I read [Code2vec](https://arxiv.org/pdf/1709.07604.pdf) very closely. Code2vec is really amazing for the problem that we have and it's pretty obvious that we could just implement it and improve our cu…
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question on mailing list
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I am wondering why the computation times of the dfbeta and dfbetas influence statistics are extremely large. The reason seems to be that the implementation uses results …
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triggered by #3622
DiD in the simplest case is just the interaction effect of time and group dummies in OLS
What support to we need? What extensions and related models would be useful?
### asym…
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## Summary
Hello, while using LightGBM to estimate multiple quantiles, I have encountered several issues where the monotonicity between quantiles is not guaranteed just as https://github.com/microsof…
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In criterion, least-square methods were used to fit lines and get linear regression. However, the "white noise" assumption cannot be made, as the expected value of bias (distribution) is not zero.
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It seems that remedies for heteroscedasticity, such as modelling for the variances of the error using WLS or GLS, are not supported in the ordinal model module. Are there any solutions like `oglmx` pa…
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The following is a list of features we're missing (or covering only partially) in Bambi
* Distributional models (we model more than the mean parameter of the response)
* Multivariate models (ie th…