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Handling chng "missingness" #108

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dsweber2 opened this issue Mar 1, 2024 · 1 comment
Open

Handling chng "missingness" #108

dsweber2 opened this issue Mar 1, 2024 · 1 comment
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experiment with n...

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@dsweber2
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dsweber2 commented Mar 1, 2024

  • if we're trying to justify including change at all, having the "ideal" version (without contract induced data gaps) of the signal as a different covariate would be useful. This could be a different data target called e.g. chng_ideal. This means rewriting the history using historic lag patterns, but with "future" data (which is only latent because of logistics/contracts/etc).
  • imputation/extrapolation? maybe dangerous
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dsweber2 commented Mar 1, 2024

could execute the first of these is by imputation from the eventual as_of versions that are present, using historic revision patterns.

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experiment with new Forecasters
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