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Spatial prediction of categorical variables: the Bayesian maximum entropy approach

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Publication:1402976
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DOI10.1007/S00477-002-0114-4zbMath1020.86001OpenAlexW1971170521MaRDI QIDQ1402976

D. Massart

Publication date: 31 August 2003

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-002-0114-4


zbMATH Keywords

geostatisticscategorical variableindicator krigingBME


Mathematics Subject Classification ID

Geostatistics (86A32)


Related Items (6)

Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification ⋮ Indicator kriging without order relation violations ⋮ Gaussian process classification: Singly versus doubly stochastic models, and new computational schemes ⋮ A clipped latent variable model for spatially correlated ordered categorical data ⋮ Means and covariance functions for geostatistical compositional data: an axiomatic approach ⋮ A comparative study of nonlinear Markov chain models for conditional simulation of multinomial classes from regular samples







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