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Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion. Issue 5 (28th May 2013)
Record Type:
Journal Article
Title:
Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion. Issue 5 (28th May 2013)
Main Title:
Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion
<abstract abstract-type="short"> <title>Key Points</title> <p> <list list-type="bullet"> <list-item> <p>Efficient two‐stage MCMC simulation for CPU‐demanding sampling</p> </list-item> <list-item> <p>Real‐world application to the inference of a multi‐layered 3D aquifer model</p> </list-item> <list-item> <p>A 2‐5 times observed speed up in sampling efficiency</p> </list-item> </list> </p> </abstract>