# \#uncertainty-quantifi

**URL:** https://discourse.julialang.org/tag/uncertainty-quantifi/1172.md

[Latest](https://discourse.julialang.org/latest.md) · [Categories](https://discourse.julialang.org/categories.md) · [Tags](https://discourse.julialang.org/tags.md)

---

## [Why does forward diff yield totally different gradients compared to my manual perturbation](https://discourse.julialang.org/t/why-does-forward-diff-yield-totally-different-gradients-compared-to-my-manual-perturbation/127918)

<div class="topic-metadata">

**Author:** [@Xu\_Shan](https://discourse.julialang.org/u/Xu_Shan)\
**Replies:** 1\
**Last updated:** [April 10, 2025, 12:52pm UTC](https://discourse.julialang.org/t/why-does-forward-diff-yield-totally-different-gradients-compared-to-my-manual-perturbation/127918 "2025-04-10T12:52:29Z")

</div>

Guys, I am trying to use ForwardDiff.jl to calculate the gradients (Jacobians) of the model cost function to parameters (at the values of a “pre-set” local\_optim). I found ForwardDiff.jl yields a totally different Jacobi…

---

## [Polychaos.jl for uncertainty propagation - avoiding manual operations with tensors](https://discourse.julialang.org/t/polychaos-jl-for-uncertainty-propagation-avoiding-manual-operations-with-tensors/106794)

<div class="topic-metadata">

**Author:** [@fabmnc](https://discourse.julialang.org/u/fabmnc)\
**Replies:** 8\
**Last updated:** [March 21, 2024, 1:17am UTC](https://discourse.julialang.org/t/polychaos-jl-for-uncertainty-propagation-avoiding-manual-operations-with-tensors/106794 "2024-03-21T01:17:17Z")

</div>

Hi everybody, I am assessing and trying to get my head around different ways of estimating the propagation of the uncertainty in some models (at this point, my testing models are not ODE, they are simple: model(inputs) …

---

## [Does Julia have anything like Measurements.jl for multivariate error propagation?](https://discourse.julialang.org/t/does-julia-have-anything-like-measurements-jl-for-multivariate-error-propagation/103879)

<div class="topic-metadata">

**Author:** [@marius311](https://discourse.julialang.org/u/marius311)\
**Replies:** 8\
**Last updated:** [September 16, 2023, 12:09pm UTC](https://discourse.julialang.org/t/does-julia-have-anything-like-measurements-jl-for-multivariate-error-propagation/103879 "2023-09-16T12:09:54Z")

</div>

Say I have two variables a and b and I know the full 2x2 covariance between them. Is there a Julia package to conveniently propagate Gaussian uncertainy through arbitrary functions of them in the same way that Measuremen…

---

## [Usage of Measurements.jl](https://discourse.julialang.org/t/usage-of-measurements-jl/98726)

<div class="topic-metadata">

**Author:** [@Fourier](https://discourse.julialang.org/u/Fourier)\
**Replies:** 3\
**Last updated:** [May 12, 2023, 9:36am UTC](https://discourse.julialang.org/t/usage-of-measurements-jl/98726 "2023-05-12T09:36:19Z")

</div>

I want to use measurements.jl for my data analysis, because it can propagate uncertainites. However for example this input: julia\> 1 ± 1 \* 1 ± 0.5 1.0 ± 1.0 ± 0.5 ± 0.0 gives me an answer I did not expect, I thought t…

---

## [How should I account for measurement resolution (particularly in Measurements.jl)?](https://discourse.julialang.org/t/how-should-i-account-for-measurement-resolution-particularly-in-measurements-jl/93448)

<div class="topic-metadata">

**Author:** [@bertulli](https://discourse.julialang.org/u/bertulli)\
**Replies:** 0\
**Last updated:** [January 24, 2023, 9:57am UTC](https://discourse.julialang.org/t/how-should-i-account-for-measurement-resolution-particularly-in-measurements-jl/93448 "2023-01-24T09:57:35Z")

</div>

Hi all! So I’m manipulating some data for my Master’s thesis. I integrated Unitful.js to keep track of the units of measure. Now I stumbled upon Measurements.jl to account for uncertainty propagation in my analysis. Acc…

---

## [\[ANN\] ConformalPrediction.jl: Uncertainty quantification through conformal prediction for machine learning models trained in MLJ](https://discourse.julialang.org/t/ann-conformalprediction-jl-uncertainty-quantification-through-conformal-prediction-for-machine-learning-models-trained-in-mlj/89348)

<div class="topic-metadata">

**Author:** [@pat-alt](https://discourse.julialang.org/u/pat-alt)\
**Replies:** 1\
**Last updated:** [October 27, 2022, 8:52am UTC](https://discourse.julialang.org/t/ann-conformalprediction-jl-uncertainty-quantification-through-conformal-prediction-for-machine-learning-models-trained-in-mlj/89348 "2022-10-27T08:52:55Z")

</div>

Very excited to announce ConformalPrediction.jl :tada: ConformalPrediction ConformalPrediction.jl is a package for Uncertainty Quantification (UQ) through Conformal Prediction (CP) in Julia. It is designed to wo…

---

## [\[ANN\] Covar.jl - Propagation of Covariant Uncertainties](https://discourse.julialang.org/t/ann-covar-jl-propagation-of-covariant-uncertainties/19006)

<div class="topic-metadata">

**Author:** [@simeonschaub](https://discourse.julialang.org/u/simeonschaub)\
**Replies:** 4\
**Last updated:** [December 27, 2018, 10:25pm UTC](https://discourse.julialang.org/t/ann-covar-jl-propagation-of-covariant-uncertainties/19006 "2018-12-27T22:25:55Z")

</div>

Covar.jl is a package to handle systems with multiple uncertainties, whose correlations are described by covariance matrices. Part of the motivation for developing this package was the desire to nicely handle fit results…