Conditioning mean steady state flow on hydraulic head and conductivity through geostatistical inversion
By A. F. Hernández, Shlomo P. Neuman, Alberto Guadagnini, Jesús Carrera. 2003
65 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/076ce9753b67af50e7bd731dc43d4c19157b65bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Environmental Engineering
- Ming Ye
- P. Meyer
- Shlomo P. Neuman
- Liangping Li
- Haiyan Zhou
- J. Jaime Gómez-Hernández
- Hoshin V. Gupta
- Xiaobao Li
In Geophysics
Citations in the corpus
- Maximum likelihood Bayesian averaging of uncertain model predictions (2003, background): “The same can be done with a stochastic model based on moment equations in a manner similar to that of Hernandez et al. (2003).”
- Inverse methods in hydrogeology: Evolution and recent trends (2014, methodology): “…concept of the SCM could be implemented in the original PiPM, and it has326 been applied multiple times since then (e.g., Alcolea et al., 2006, 2008; Lavenue and De Marsily, 2001).327 Gómez-Hernández et al. (2003) reviewed stochastic conditional inverse modeling showing the strengths328 of SCM.”
- Maximum likelihood Bayesian averaging of spatial variability models in unsaturated fractured tuff (2003, methodology): “[14] Hoeting et al. [1999] point out that (1) the number of potentially feasible models may be exceedingly large, rendering their exhaustive inclusion in M infeasible and (2) the specification of prior model probabilities p(Mk) remains challenging, having received little attention in the statistical”