A Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields

Mathematical Geosciences

Volumn 46, Issue 6, 2014, Pages 691-709

  Schaeben, Helmut ^a  

^a Geomathematics and Geoinformatics   (Germany)

Author keywords

Conditional independence; Graphical models; Log linear models; Logistic regression model; Markov random field; Weights of evidence

Indexed keywords

GRAPHIC METHODS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; RANDOM VARIABLES; SPEECH RECOGNITION;

CONDITIONAL INDEPENDENCES; GRAPHICAL MODEL; LOGISTIC REGRESSION MODELING; LOGLINEAR MODEL; MARKOV RANDOM FIELDS; WEIGHTS OF EVIDENCES;

REGRESSION ANALYSIS;

GRAPHICAL METHOD; LOGISTICS; MARKOV CHAIN; MATHEMATICAL ANALYSIS; NUMERICAL MODEL; PROBABILITY; REGRESSION ANALYSIS;

EID: 84904974302     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-013-9513-y     Document Type: Article

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