Implements optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
If you use the examples or code, please cite our article at JOSS in your published materials.
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Julia version 1.6+
- How do I build prior distributions?
- How do I build my observations and encode batching?
- What ensemble size should I take? Which process should I use? What is the recommended configuration?
- What is the difference between
get_uandget_ϕ? Why do the stored parameters apperar to be outside their bounds? - What can be parallelized? How do I do it in Julia?
- What is going on in my own code?
- What is this error/warning/message?
- Where can I walk through a simple example?
