Karhunen-Loève expansion for multi-correlated stochastic processes
By Heyrim Cho, Daniele Venturi, G. Em Karniadakis. 2013
60 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4783d457566971ff75e7224859fcf87af05b83dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Paris Perdikaris
- G. Em Karniadakis
- Daniele Venturi
- Lucia Parussini
- Jonas Biehler
- Michael W. Gee
- Wolfgang A. Wall
- Dongbin Xiu
Citations in the corpus
- Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014, background): “cross-correlated sample functions have for example been proposed in (Popescu et al. 1998; Field and Grigoriu 2012; Vořechovský 2008; Cho et al. 2013).”
- Multi-fidelity Gaussian process regression for prediction of random fields (2017, methodology): “, multivariate orthogonal polynomials selected from the Askey scheme [35,33,7,32], or generalized bi-orthogonal series expansion [5,30].”