4.5 Article

An efficient maximum entropy approach for categorical variable prediction

Related references

Note: Only part of the references are listed.
Article Geosciences, Multidisciplinary

Reconstruction of Incomplete Data Sets or Images Using Direct Sampling

Gregoire Mariethoz et al.

MATHEMATICAL GEOSCIENCES (2010)

Article Computer Science, Interdisciplinary Applications

CART algorithm for spatial data: Application to environmental and ecological data

L. Bel et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2009)

Article Soil Science

A random-path Markov chain algorithm for simulating categorical soil variables from random point samples

Weidong Li et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2007)

Article Geosciences, Multidisciplinary

Markov chain random fields for estimation of categorical variables

Weidong Li

MATHEMATICAL GEOLOGY (2007)

Article Soil Science

Two-dimensional Markov chain simulation of soil type spatial distribution

WD Li et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2004)

Article Engineering, Environmental

Spatial prediction of categorical variables: the Bayesian maximum entropy approach

P Bogaert

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2002)

Article Soil Science

Estimating soil properties from thematic soil maps: the Bayesian maximum entropy approach

P Bogaert et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2002)

Article Geosciences, Multidisciplinary

Conditional simulation of complex geological structures using multiple-point statistics

S Strebelle

MATHEMATICAL GEOLOGY (2002)

Article Engineering, Environmental

Application of the BME approach to soil texture mapping

D D'Or et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2001)