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16 novdemo 4 #82

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be68eea
Scenario 4 dynamic_multi
djinnome Nov 13, 2024
61d20c8
added seir_observation model and single_town_observation_model
djinnome Nov 13, 2024
d860267
added seir plots
djinnome Nov 13, 2024
da4de9c
Prior distributions of county and city SEIR parameters correctly labe…
djinnome Nov 14, 2024
73c8355
running into issues rendering the observation model
djinnome Nov 19, 2024
f0e2d00
The error message indicates a shape mismatch inside the counties plat…
djinnome Nov 19, 2024
785fe15
Sort of got render model working. Beta, alpha and gamma should point…
djinnome Nov 22, 2024
481a171
multi seir
djinnome Nov 22, 2024
c11443f
Cleaned up the notebook and now I am getting better rendering of para…
djinnome Nov 22, 2024
d6adfdd
By forcing event_dim=0 in seir_observation_model, the correct plate m…
djinnome Nov 23, 2024
63fb901
By forcing event_dim=0 in seir_observation_model, the correct plate m…
djinnome Nov 23, 2024
976af76
seir_data needs to be handled correctly to enable inference
djinnome Nov 24, 2024
2307bc1
seir_data needs to be handled correctly to enable inference
djinnome Nov 24, 2024
f0c39b1
Figured out that event_dim = 1 only if shape[-1] > n_counties_per_reg…
djinnome Nov 24, 2024
ba23aae
Discovered timepoint data rounding error. Now focused on running SVI…
djinnome Nov 27, 2024
e3e5cb9
Training on no missing data works just fine. Need to try missing dat…
djinnome Nov 27, 2024
49130dd
resolved conficts in favor of my branch
djinnome Dec 3, 2024
22d0a84
rearranging notebook so that interventions can be performed before ca…
djinnome Dec 4, 2024
8fb6775
not sure how to condition the intervened model. Is it as simple as pa…
djinnome Dec 4, 2024
60411f7
It is as simple as passing the SEIRDynamicsLockown model to condition…
djinnome Dec 4, 2024
d018ccb
Added KDE plot to compare prior and posterior lockdown strength vs tr…
djinnome Dec 4, 2024
2b81c96
Used true_interened_trajectory_obs as the data input to run_svi_infer…
djinnome Dec 4, 2024
50301d6
now handles missing data
djinnome Dec 19, 2024
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