Julia code to replicate results in "When do trajectories matter? Identifiability analysis for stochastic transport phenomena" by Simpson and Plank (2026).
Unbiasedmotility.ipynb replicates all results for unbiased motility and BiasedMotility.ipynb replicates all reslts for biased motility.
UnbiasedMotility_ExperimentalDesign2.ipynb and UnbiasedMotility_ExperimentalDesign3.ipynb repicates results for unbiased motility with different arrangements of tagged agents.
UnbiasedMiltility_LikelihoodSampling.ipynb Replicates all results for unbiased motility with the exception that prediction intervals are generated by sampling the loglikelihood in proportion to the likelihood whereas previous results randomly sample within the asymptotic confidence set using Wilks' Theorem.