"How to" on running the SSA and FSP in Julia applied to genetic auto-regulation. Also, gives a short review of parameter inference using MLE and Bayesian methods applied to the telegraph model of gene expression.
The tutorial itself can be found in the Jupyter notebook "How-to-Parameter-Inference-Synthetic-Data.ipynb". To run it, please download the entire repo and run the notebook from inside the downloaded folder.
