https://turing.ml/dev/tutorials/10-bayesian-differential-equations/
I followed this tutorial to model my own ode problem and estimate parameters. When calling sample(model, NUTS(0.65), MCMCThreads(), 1000, 3)
I get back the chains and all the relevant statistics. What does the Quantiles section represent? Is it the confidence intervals of the estimated parameters.
Also how can I retrieve the best estimated parameter from the chain?