# How retrieve the best result from sampling? Turing.jl

**URL:** https://discourse.julialang.org/t/how-retrieve-the-best-result-from-sampling-turing-jl/81077
**Category:** Modelling & Simulations
**Tags:** bayesian-inference
**Created:** [May 14, 2022, 10:26pm UTC](https://discourse.julialang.org/t/how-retrieve-the-best-result-from-sampling-turing-jl/81077 "2022-05-14T22:26:12Z")
**Posts on this page:** 1
**Page:** 1

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#### Post date: [May 14, 2022, 10:26pm UTC](https://discourse.julialang.org/t/how-retrieve-the-best-result-from-sampling-turing-jl/81077/1 "2022-05-14T22:26:12Z")

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[https://turing.ml/dev/tutorials/10-bayesian-differential-equations/](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?