A nonparametric probabilistic approach for quantifying uncertainties in low‐dimensional and high‐dimensional nonlinear models

By Christian Soize, Charbel Farhat. 2017

60 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/17230647ce2a9c26713d0a0963fc908a47fc9580

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Trond Kvamsdal
2. Omer San
3. Adil Rasheed

In Statistical and Nonlinear Physics

1. Trond Kvamsdal
2. Omer San
3. Adil Rasheed
4. Steven L. Brunton

In Statistics and Probability

1. Trond Kvamsdal
2. Omer San
3. Adil Rasheed

Citations in the corpus

• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, methodology): “Another interesting way of combining physics based modelling and big data is the approach advocated by Soize and Farhat [344] and [345].”