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Hi, I wanted to continue the conversation around autots ability to do multivariate analysis.
I have tried the stand-alone Sarimax algorithm with its exog parameter capabilities to add covariates to…
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hello,
i'm trying to do multivariate EOF with precipitation and sea surface temperature data.
but their resolutions are different.
do they need to have same resolution?
also, do they need to have …
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**Describe the bug**
Sporadic failures related to AutoTS in CI.
One example:
```
FAILED sktime/forecasting/tests/test_all_forecasters.py::TestAllForecasters::test_update_predict_predicted_index
…
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In additional to scipy.stats.gaussian_kde
something like https://www.statsmodels.org/stable/generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.html would be really useful.
…
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Hi @kashif @goriccardo
I hope your well!
I am just trying to get familiar with the library and I generally work with the pandas data format.
Could you help me format my data and create a basic …
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I'm looking at merging #4107 but I'm not sure of code location
multivariate methods and models PCA, CCA, MANOVA, ... are in `statsmodels.multivariate`
basic one, two and k sample statistics, hyp…
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I am currently working on a project involving multivariate data and am interested in using the DEMUX model for interpretative analysis. Could you kindly provide some guidance or resources on how to ef…
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related: #2847 for univariate case
interesting question
http://stats.stackexchange.com/questions/234837/is-there-a-hotellings-t2-function-for-multivariate-data-using-python
and link to blog post
http…
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Many empirical calibrations of parameters use multivariate Gaussians to represent the covariance between parameters. For example, a quadratic damage function with two coefficients, alpha and beta, wou…
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one issue i found with the `lagged_sequence_values` helper is that with multivariate inputs this helper doesn't return the stacked tensors... e.g.
```py
# prior_input.shape torch.Size([1, 167, 137…