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Comment on Prophet: forecasting at scale

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Is there a way to extend these models to handle spatial variation (e.g. weather forecasting, property price estimation etc.) as well?

This would be non-trivial. Consider this paper on marijuana usage where the researchers had to group statistics by adjacent counties in Oregon and Washington in order to control the tests.

https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2841267

Thank you for the pointer, will read the article.

All my attempts thus far have pointed me to something called Gaussian Proceeses that I am still working through grokking.

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