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@Dekermanjian should we solve the conflicts or close this PR? |
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@aloctavodia my apologies. For some reason I thought this PR was merged a long time ago. I will resolve the conflicts. |
rebased main to resolve conflicts
2. Improved 24-hour ahead forecasts of simplest model 3. Added a section and model with how to add exogenous variables to the model
2. cleaned up typos and figure sizes/zoom
2. Added a non-linear B-Splines section
2. Added closing remarks section 3. Updated references bib file
2. Restructured function docstrings to comply with numpy's guidestyle 3. Added ODE derivation of Newtonian equations of motion 4. Added legend to origins scatterplot 5. Fixed issue with passing in future covariates into exogenous model when forecasting 6. Added model evaluations and comparisons 7. Fixed issue with diffuse initialization of P0
2. updated generate forecast utility 3. updated how mode=JAX is specified 4. renamed simple model to Newtonian model 5. added explanations to exogenous data duplicating and mirroring 6. added note on how the newtonian model differs from typical parameteric models
…ans and covariances. Updated plotly setting to automatically select renderer
…state means and covariances. Updated plotly setting to automatically select renderer" This reverts commit 07355d2. Revert using conditional posterior to using save_kalman_filter_outputs_in_idata
… with A and sometimes with T to only being referred to using T
…lter_outputs method
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updated notebook to utilize the newly added
sample_filter_outputsmethod.Previously we were pulling out the filter outputs by passing
save_kalman_filter_outputs_in_idatato thebuild_statespacemethod. This will be deprecated in the future and we have added a utility methodsample_filter_outputsto allow users to sample the KF outputs.📚 Documentation preview 📚: https://pymc-examples--804.org.readthedocs.build/en/804/