(1/6)
I'm very happy that we (finally) got an acceptance for our submitted paper in the Journal of Open Source Education, JOSE🙂.
"An open source crash course on parameter estimation of computational models using a Bayesian optimization approach"
doi.org/10.21105/jose.…
I'm very happy that we (finally) got an acceptance for our submitted paper in the Journal of Open Source Education, JOSE🙂.
"An open source crash course on parameter estimation of computational models using a Bayesian optimization approach"
doi.org/10.21105/jose.…
(2/6)
Parameter estimation is a crucial aspect of model development in science and engineering. In the proposed educational module, we have a look at the #Bayesian optimization processes in general and model calibration (parameter estimation) in particular.
Parameter estimation is a crucial aspect of model development in science and engineering. In the proposed educational module, we have a look at the #Bayesian optimization processes in general and model calibration (parameter estimation) in particular.
(3/6)
For demonstration purposes, we implement a model parameter estimation process for a fitting problem step by step in Python such that the readers can adapt it to their own models and use-cases.
Codes are available in this repo: github.com/mbarzegary/edu…
For demonstration purposes, we implement a model parameter estimation process for a fitting problem step by step in Python such that the readers can adapt it to their own models and use-cases.
Codes are available in this repo: github.com/mbarzegary/edu…
(4/6)
The whole process is documented interactively using #Jupyter notebooks. You can find more details on this choice as well as a general overview of the benefits of using Jupyter for this use-case in this short video:
The whole process is documented interactively using #Jupyter notebooks. You can find more details on this choice as well as a general overview of the benefits of using Jupyter for this use-case in this short video:
(5/6)
Although the pandemic had a big impact on the review process of JOSE (this took 15 months), I’m still a big fan of open review. With good support from the editors (@LorenaABarba), we managed to solve the issues of delayed reviews and non-constructive comments.
Although the pandemic had a big impact on the review process of JOSE (this took 15 months), I’m still a big fan of open review. With good support from the editors (@LorenaABarba), we managed to solve the issues of delayed reviews and non-constructive comments.
(6/6)
And finally, special thanks goes to @LiesbetGeris for her great support and supervision. I hope we publish more papers in the open-review and community-driven journals in the near future🥰
And finally, special thanks goes to @LiesbetGeris for her great support and supervision. I hope we publish more papers in the open-review and community-driven journals in the near future🥰
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