Evaluating two sparse grid surrogates and two adaptation criteria for groundwater Bayesian uncertainty quantification

标题
Evaluating two sparse grid surrogates and two adaptation criteria for groundwater Bayesian uncertainty quantification
作者
关键词
Log-likelihood surrogate, State-variable surrogate, Adaptive sparse grid, Markov chain Monte Carlo, Bayesian inference, Groundwater modeling
出版物
JOURNAL OF HYDROLOGY
Volume 535, Issue -, Pages 120-134
出版商
Elsevier BV
发表日期
2016-02-02
DOI
10.1016/j.jhydrol.2016.01.058

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