A Bayesian approach for inverse modeling, data assimilation, and conditional simulation of spatial random fields
By Yoram Rubin, Xingyuan Chen, H. Murakami, M. Hahn. 2010
93 citations recorded by the source corpus.
Subfields: Environmental Engineering, Geochemistry and Petrology
View Paper: https://www.semanticscholar.org/paper/da3882740765e6daf533d0b240329971cbbb1aa5
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In Environmental Engineering
- F. P. J. D. Barros
- Yoram Rubin
- Wolfgang Nowak
- Liangping Li
- Haiyan Zhou
- J. Jaime Gómez-Hernández
- Ming Ye
- Dan Lu
In Geochemistry and Petrology
Citations in the corpus
- A hypothesis‐driven approach to optimize field campaigns (2012, methodology): “…and fully Bayesian evaluation schemes based on well-designed Monte Carlo analysis, such as the PreDIA framework [e.g., Leube et al., 2012] based on bootstrap or particle filtering [e.g., Efron, 1982; 13 of 16 Gordon et al., 1993] or the method of anchored distributions [e.g., Rubin et al., 2010].”
- Evaluating marginal likelihood with thermodynamic integration method and comparison with several other numerical methods (2016, methodology): “…obtained by various methods, e.g., generalized likelihood uncertainty estimation methods [Rojas et al., 2008], method of anchored distributions [Rubin et al., 2010], Markov chain Monte Carlo (MCMC) methods [Lu et al., 2011], maximum likelihood methods [Neuman et al., 2012; Lu et al., 2012b],…”
- An adaptive sparse‐grid high‐order stochastic collocation method for Bayesian inference in groundwater reactive transport modeling (2013, unknown): “They are flexible and can be applied to different models to incorporate multiple types of data and prior information [e.g., Woodbury, 2007; Rubin et al., 2010; Chen et al., 2012].”
- Inverse methods in hydrogeology: Evolution and recent trends (2014, methodology): “Alternatively Rubin et al. (2010) present the anchored distribution method,291 and subsequently Murakami et al. (2010) and Chen et al. (2012) applied this method for three-dimensional292 aquifer characterization at the Hanford 300 Area.293 An estimated map, let it be obtained by kriging, maximum…”