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An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

Research article (Water Resources Research, 2016) · cited 141× · AI/ML
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An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

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An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems is a scholarly article[1].

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  • An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-adaptive-gaussian-processbased-method-for-efficient-bayesian-experimental-design-in-groundwater-contaminant-source-id
MLA “An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-adaptive-gaussian-processbased-method-for-efficient-bayesian-experimental-design-in-groundwater-contaminant-source-id.
BibTeX @misc{4ortxyz_an-adaptive-gaussian-processbased-method-for-efficient-bayesian-experimental-design-in-groundwater-contaminant-source-id_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems}}, year = {2026}, url = {https://4ort.xyz/entity/an-adaptive-gaussian-processbased-method-for-efficient-bayesian-experimental-design-in-groundwater-contaminant-source-id}, note = {Accessed: 2026-05-24}}
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