# \#kriging **URL:** https://openturns.discourse.group/tag/kriging/1.md [Latest](https://openturns.discourse.group/latest.md) · [Categories](https://openturns.discourse.group/categories.md) · [Tags](https://openturns.discourse.group/tags.md) --- ## [Define and optimize the kriging mean term as a deterministic function dependent on space.](https://openturns.discourse.group/t/define-and-optimize-the-kriging-mean-term-as-a-deterministic-function-dependent-on-space/425)
**Author:** [@Clement](https://openturns.discourse.group/u/Clement)\ **Replies:** 1\ **Last updated:** [September 30, 2025, 7:16pm UTC](https://openturns.discourse.group/t/define-and-optimize-the-kriging-mean-term-as-a-deterministic-function-dependent-on-space/425 "2025-09-30T19:16:52Z")
Hello, I am currently trying to build a kriging model, but I am having difficulty defining the mean term as a function dependent on space. Here is a brief description of what I can do and what I want to do. Kriging is … --- ## [Bug with noisy kriging?](https://openturns.discourse.group/t/bug-with-noisy-kriging/281)
**Author:** [@Alexis](https://openturns.discourse.group/u/Alexis)\ **Replies:** 9\ **Last updated:** [October 10, 2023, 1:45pm UTC](https://openturns.discourse.group/t/bug-with-noisy-kriging/281 "2023-10-10T13:45:51Z")
Hi, It seems that there is a bug when calibrating a kriging model with noise. It looks like the training set outputs need to be normalized to properly account for the noise. For example, if I do a kriging model on np.si… --- ## [Kriging when the MLE of the scale parameter is 0](https://openturns.discourse.group/t/kriging-when-the-mle-of-the-scale-parameter-is-0/200)
**Author:** [@josephmure](https://openturns.discourse.group/u/josephmure)\ **Replies:** 1\ **Last updated:** [April 10, 2022, 6:02am UTC](https://openturns.discourse.group/t/kriging-when-the-mle-of-the-scale-parameter-is-0/200 "2022-04-10T06:02:45Z")
This post is an answer to a question by @BinglinW on Gitter. Question Hello everyone, in the model of Kriging, OpenTURNS can choose a variety of parameters, such as Basis and CovarianceModel, I want to know if there is… --- ## [Kriging metamodel for vector-valued models](https://openturns.discourse.group/t/kriging-metamodel-for-vector-valued-models/171)
**Author:** [@fabdlhm](https://openturns.discourse.group/u/fabdlhm)\ **Replies:** 2\ **Last updated:** [December 15, 2021, 6:03pm UTC](https://openturns.discourse.group/t/kriging-metamodel-for-vector-valued-models/171 "2021-12-15T18:03:34Z")
Hello, I would like to build a Kriging metamodel of a vector-valued model (say, a map from \\mathbb{R}^d to \\mathbb{R}^n) by constructing an independent Kriging metamodel for each model component, with common experimenta… --- ## [Difference observed on trend coefficients between OPENTURNS and DiceKriging](https://openturns.discourse.group/t/difference-observed-on-trend-coefficients-between-openturns-and-dicekriging/63)
**Author:** [@cdurantin](https://openturns.discourse.group/u/cdurantin)\ **Replies:** 14\ **Last updated:** [November 30, 2020, 8:10am UTC](https://openturns.discourse.group/t/difference-observed-on-trend-coefficients-between-openturns-and-dicekriging/63 "2020-11-30T08:10:22Z")
Hello My team did some training challenge on the data attached to this post. The goal is to learn the best Kriging model. We noticed a difference between the result provided by OpenTurns and by DiceKriging (R). When cov… --- ## [Covariance kernels for random processes with multidimensional output do not output symmetric matrices](https://openturns.discourse.group/t/covariance-kernels-for-random-processes-with-multidimensional-output-do-not-output-symmetric-matrices/55)
**Author:** [@josephmure](https://openturns.discourse.group/u/josephmure)\ **Replies:** 1\ **Last updated:** [November 23, 2020, 7:47pm UTC](https://openturns.discourse.group/t/covariance-kernels-for-random-processes-with-multidimensional-output-do-not-output-symmetric-matrices/55 "2020-11-23T19:47:17Z")
I think there is a mistake in the way covariance kernels for random processes with multidimensional output are handled by the library. In the following code block, I do not think operator() should return a CovarianceMat…