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Schaeben, Helmut (2014) A Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields. Mathematical Geosciences, 46 (6). 691-709 doi:10.1007/s11004-013-9513-y

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Reference TypeJournal (article/letter/editorial)
TitleA Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields
JournalMathematical Geosciences
AuthorsSchaeben, HelmutAuthor
Year2014 (August)Volume46
Issue6
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s11004-013-9513-ySearch in ResearchGate
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Mindat Ref. ID9286850Long-form Identifiermindat:1:5:9286850:0
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Full ReferenceSchaeben, Helmut (2014) A Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields. Mathematical Geosciences, 46 (6). 691-709 doi:10.1007/s11004-013-9513-y
Plain TextSchaeben, Helmut (2014) A Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields. Mathematical Geosciences, 46 (6). 691-709 doi:10.1007/s11004-013-9513-y
In(2014, August) Mathematical Geosciences Vol. 46 (6) Springer Science and Business Media LLC

See Also

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Schaeben, Helmut (2014) Comment on “A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity” by Daojun Zhang, Frits Agterberg, Qiuming Cheng, and Renguang Zuo Math Geosci DOI 10.1007/s11004-013-9496-8. Mathematical Geosciences, 46 (7). 887-893 doi:10.1007/s11004-014-9544-z
Zhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) Response to comment by Helmut Schaeben on “A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity”. Mathematical Geosciences, 46 (7). 895-900 doi:10.1007/s11004-014-9565-7
Zhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity. Mathematical Geosciences, 46 (7). 869-885 doi:10.1007/s11004-013-9496-8
Heil, Kurt, Schmidhalter, Urs (2014) Using Discriminant Analysis and Logistic Regression in Mapping Quaternary Sediments. Mathematical Geosciences, 46 (3). 361-376 doi:10.1007/s11004-013-9486-x
Schaeben, Helmut (2018) Testing Joint Conditional Independence of Categorical Random Variables with a Standard Log-Likelihood Ratio Test. In Handbook of Mathematical Geosciences. Springer International Publishing. p.67-80. doi:10.1007/978-3-319-78999-6_3
Schaeben, Helmut (2012) Comparison of Mathematical Methods of Potential Modeling. Mathematical Geosciences, 44 (1). 101-129 doi:10.1007/s11004-011-9373-2
Schaeben, Helmut (2010) Special Issue on Spherical Mathematics and Statistics. Mathematical Geosciences, 42 (7). 727-730 doi:10.1007/s11004-010-9304-7
Hielscher, Ralf, Schaeben, Helmut (2008) Multi-Scale Texture Modeling. Mathematical Geosciences, 40 (1). 63-82 doi:10.1007/s11004-007-9128-2
Cheng, Qiuming (2015) BoostWofE: A New Sequential Weights of Evidence Model Reducing the Effect of Conditional Dependency. Mathematical Geosciences, 47 (5). 591-621 doi:10.1007/s11004-014-9578-2
Hielscher, Ralf, Schaeben, Helmut, Siemes, Heinrich (2010) Orientation Distribution Within a Single Hematite Crystal. Mathematical Geosciences, 42 (4). 359-375 doi:10.1007/s11004-010-9271-z
Emery, Xavier, Lantuéjoul, Christian (2014) Can a Training Image Be a Substitute for a Random Field Model?. Mathematical Geosciences, 46 (2). 133-147 doi:10.1007/s11004-013-9492-z
 
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