Abstract
The motive for working with Bayesian approaches to surface estimation is the lack of flexibility in choosing expectation functions in the kriging methods most frequently used. In the method presented, the user can provide qualified guesses for the expectation function and specify the uncertainty associated with this guess. Predictions will be based on the qualified guess and the available observations. A couple of examples are presented.
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List of References
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Omre, H. (1988). A Bayesian Approach to Surface Estimation. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_21
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DOI: https://doi.org/10.1007/978-94-009-4029-1_21
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8288-4
Online ISBN: 978-94-009-4029-1
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