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Clarify/standardize renewal model equations across docs#773

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cdc-mitzimorris wants to merge 52 commits intomainfrom
mem_768_tutorials
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Clarify/standardize renewal model equations across docs#773
cdc-mitzimorris wants to merge 52 commits intomainfrom
mem_768_tutorials

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This PR addresses all comments in issue #768 and further improves the discussion of the renewal models supported by PyRenew.

  • It makes the temporal indexing explicit and distinguishes between the temporal indices for the renewal equation and the observation equation.
  • It distinguishes between the mechanistic process and the stochastic model
  • The discussion of latent temporal processes provides more nuanced explanation of the difference between the RW, AR1, and DifferencedAR1 temporal processes and the choice of hyperparameters for each.

cdc-mitzimorris and others added 7 commits April 6, 2026 10:45
Co-authored-by: Dylan H. Morris <dylanhmorris@users.noreply.github.com>
Co-authored-by: Dylan H. Morris <dylanhmorris@users.noreply.github.com>
Co-authored-by: Dylan H. Morris <dylanhmorris@users.noreply.github.com>
Co-authored-by: Dylan H. Morris <dylanhmorris@users.noreply.github.com>
Co-authored-by: Dylan H. Morris <dylanhmorris@users.noreply.github.com>
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@damonbayer - ready for review.
@dylanhmorris - all changes made.

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@damonbayer damonbayer left a comment

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Thanks @cdc-mitzimorris! I think we need to clarify "initial" vs "time 0". Other changes are more optional.

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@damonbayer I have made all requested changes:

  • specify at time $0$ instead of "initial"
  • refined plots for choice of temporal process adding 90% interval ribbon overlays with more discussion of what the prior predictive checks are showing
  • replaced K as index on the generation interval with G, reserving K for subpopulation indices

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3 participants