A markov random field model of contamination source identification in porous media flow
By Jingbo Wang, Nicholas Zabaras. 2006
47 citations recorded by the source corpus.
Subfields: Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f4b5da1617cfe3e096f540c2d1dbecd13cf47ca9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Youssef M. Marzouk
- Habib N. Najm
- Anthony Nouy
- Alireza Doostan
- G. Em Karniadakis
- Xiaoliang Wan
- Dongbin Xiu
- O. L. Le Maître
In Statistics and Probability
- Youssef M. Marzouk
- Habib N. Najm
- Dongbin Xiu
- Xun Huan
- Liang Yan
- Ling Guo
- Karen E. Willcox
- Nicholas Zabaras
Citations in the corpus
- Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems (2008, methodology): “A standard Bayesian approach is to employ Gaussian process (GP) or Markov random field (MRF) priors [4, 28, 29].”