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Apologies if I am annoying, but something I did not think about when discussing the package title last time (#72) is that the term "hierarchical nowcasting" is ambiguous. We are here referring to "hie…
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As discussed with @alexkowa and @merangelik, it would be a good idea to add a class for hierarchical time series.
- [x] Add support for the class to contain several `tramoseatsSingle` and `x13Singl…
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## Description
I'm wondering if there's any appetite for adding support for time-series imagery to the existing [RAG](https://scikit-image.org/docs/stable/api/skimage.future.graph.html#skimage.futu…
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https://www.researchgate.net/publication/361359349_PROFHIT_Probabilistic_Robust_Forecasting_for_Hierarchical_Time-series/fulltext/62ac06ed40d84c1401b09d63/PROFHIT-Probabilistic-Robust-Forecasting-for-…
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### Version of the project
v3.0.0-beta.0
### Tech Stack
DevOps [DO]
### Project details
Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring syst…
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`sktime` features for hierarchical and panel time series forecasting have progressed a bit since we presented our initial tutorial at pydata Berlin 2022.
It would be nice if some of the newer featu…
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As described in [Aquino et al. (2020)](https://doi.org/10.1016/j.neuroimage.2020.116614), ordering voxels (within parcellations) by cluster similarity enhances the interpretability of carpet plots.
…
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Reproducible Code
```python
from sktime.param_est.seasonality import SeasonalityACF
from sktime.transformations.series.difference import Differencer
pipeline = Differencer() * SeasonalityACF()
…
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I've been exploring a number of models for a hierarchical time-series and encountered situations where `generate()` returns samples that are not consistent with the variances returned by `forecast()`.…
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**Is your feature request related to a problem? Please describe.**
This issue focusses on the pandas allowed mtypes.
It can be good to allow and enforce pandas series mtype for all kinds of univaria…