KRIGING WITH INEQUALITY CONSTRAINTS

dc.contributor.author	Abrahamsen P.
dc.contributor.author	Benth F.E.
dc.date.accessioned	2021-03-14T04:33:25Z
dc.date.available	2021-03-14T04:33:25Z
dc.date.issued	2001
dc.identifier	https://www.elibrary.ru/item.asp?id=796400
dc.identifier.citation	Mathematical Geology, 2001, 33, 6, 719-744
dc.identifier.issn	0882-8121
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/26691
dc.description.abstract	A 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.subject	BAYESIAN KRIGING
dc.subject	DATA AUGMENTATION ALGORITHM
dc.subject	GAUSSIAN RANDOM FIELD
dc.subject	FIXED POINT ITERATIONS
dc.title	KRIGING WITH INEQUALITY CONSTRAINTS
dc.type	Статья

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