Last modified by mhashemi on 2025/05/09 17:29
From version 10.1
edited by mhashemi
on 2024/12/03 16:21
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To version 12.1
edited by mhashemi
on 2024/12/03 18:27
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24 24  
25 25  Stan: [[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]]
26 26  
27 +We have provided a taxonomy for model comparison tailored to algorithms: (1) adaptive Hamiltonian Monte Carlo, (2) automatic Laplace and (3) family of variational inference. We have provided solutions to address the deference by: 1) optimizing the hyperparameters, (2) leveraging initialization with prior information, (3) weighted stacking based on predictive accuracy.
27 27  
29 +
28 28  Notebooks:
29 29  \\[[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/DCM_ERP_NumPyro>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/DCM_ERP_NumPyro]]
30 30  \\Tutorial:
... ... @@ -31,7 +31,7 @@
31 31  
32 32  [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial]]
33 33  
34 -{{{@article{Baldy2024AutoDCM,
36 +{{{@article{AutoDCM,
35 35   title={Dynamic Causal Modeling in Probabilistic Programming Languages},
36 36   author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},
37 37   journal={bioRxiv},