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It'd be quite helpful to add some examples for more complicated models with complicated flows such as SEIRD or SEIRDS, where, for example, E branches into ID (infectious individuals who'll die) and IR…
ibulu updated
4 years ago
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The [`Pigeons.jl`](https://github.com/Julia-Tempering/Pigeons.jl) package exposes parallel tempering for `Turing` models. PT is considered an effective inference methodology for posterior distribution…
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- [x] Is the class an entity or a process? Is it an information entity about a material entity/process, or a pure information entity/process?
- [x] Specify the ontology URI for class. Is there a hier…
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I would like to propose a stochastic simulation tutorial that teaches using random variables generated from NumPy to simulate various situations and solve problems. The general outline for this tutori…
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## Summary of this new feature
I have read about stochastic models (Imperial college covid response team uses them a lot) as well as agent-based models (https://www.nature.com/articles/s41467-020-193…
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(exercice ou projet num, etc.)
Une idée : les modèles utilisés en épidémiologie ; cf par exemple
- http://indico.ictp.it/event/7960/session/3/contribution/19/material/slides/0.pdf
- http…
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Looks interesting (partial skimming)
perfomance of Logit or similar in terms of predicted probabilities and how well they match observered proportions, proportions/frequencies by exog pattern or by…
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We need some PK/PD examples:
- [ ] knitr
- [ ] write model
- [ ] simulate data
- [ ] fit model
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based on the comments in #2208
`risk ratio` is a useful effects measure that is often used in medical, epidemiological studies, and I guess other areas.
It makes a good use, example and test case f…
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https://medium.com/@raj.dandekar8/julia-for-epidemiology-247cc04fc297
This is a list of papers using Julia for epidemiological studies. Of the studies listed here, numbers 2, 4 and 5 use agent-base…