标题
Efficient Bayesian experimental design for contaminant source identification
作者
关键词
-
出版物
WATER RESOURCES RESEARCH
Volume 51, Issue 1, Pages 576-598
出版商
American Geophysical Union (AGU)
发表日期
2015-01-08
DOI
10.1002/2014wr015740
参考文献
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- (2013) Haiyan Zhou et al. ADVANCES IN WATER RESOURCES
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- (2013) Eric Laloy et al. WATER RESOURCES RESEARCH
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- (2012) Hui Wang et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Comparing Nonlinear Regression and Markov Chain Monte Carlo Methods for Assessment of Prediction Uncertainty in Vadose Zone Modeling
- (2012) Xiaoqing Shi et al. VADOSE ZONE JOURNAL
- A sparse grid based Bayesian method for contaminant source identification
- (2011) Lingzao Zeng et al. ADVANCES IN WATER RESOURCES
- Bayesian analysis of data-worth considering model and parameter uncertainties
- (2011) Shlomo P. Neuman et al. ADVANCES IN WATER RESOURCES
- A review of Markov Chain Monte Carlo and information theory tools for inverse problems in subsurface flow
- (2011) Ángel Yustres et al. COMPUTATIONAL GEOSCIENCES
- Monitoring Network Design for Phytoremediation Systems Using Primary and Secondary Data Sources
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- Many-objective groundwater monitoring network design using bias-aware ensemble Kalman filtering, evolutionary optimization, and visual analytics
- (2011) J. B. Kollat et al. WATER RESOURCES RESEARCH
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- Probabilistic collocation method for unconfined flow in heterogeneous media
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- Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
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- Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques
- (2008) Tyler Jon Smith et al. WATER RESOURCES RESEARCH
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