KRIGING WITH INEQUALITY CONSTRAINTS

dc.contributor.authorAbrahamsen P.
dc.contributor.authorBenth F.E.
dc.date.accessioned2021-03-14T04:33:25Z
dc.date.available2021-03-14T04:33:25Z
dc.date.issued2001
dc.description.abstractA Gaussian random field with an unknown linear trend for the mean is considered. Methods for obtaining the distribution of the trend coefficients given exact data and inequality constraints are established. Moreover, the conditional distribution for the random field at any location is calculated so that predictions using e.g. the expectation, the mode, or the median can be evaluated and prediction error estimates using quantiles or variance can be obtained. Conditional simulation techniques are also provided.
dc.identifierhttps://www.elibrary.ru/item.asp?id=796400
dc.identifier.citationMathematical Geology, 2001, 33, 6, 719-744
dc.identifier.issn0882-8121
dc.identifier.urihttps://repository.geologyscience.ru/handle/123456789/26691
dc.subjectBAYESIAN KRIGING
dc.subjectDATA AUGMENTATION ALGORITHM
dc.subjectGAUSSIAN RANDOM FIELD
dc.subjectFIXED POINT ITERATIONS
dc.titleKRIGING WITH INEQUALITY CONSTRAINTS
dc.typeСтатья

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