On the robustness of Bayesian networks to learning from non-conjugate sampling

International Journal of Approximate Reasoning

Volumn 51, Issue 5, 2010, Pages 558-572

  Smith, J Q ^a   Daneshkhah, A ^b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b SHAHID CHAMRAN UNIVERSITY OF AHVAZ   (Iran)

Author keywords

Bayesian networks; Bayesian robustness; Isoseparation property; Local DeRobertis distance; Total variation distance

Indexed keywords

BAYES FACTOR; BAYESIAN ROBUSTNESS; CANDIDATE MODELS; DATA POINTS; DISTANCE MEASURE; ISOSEPARATION PROPERTY; MISSING OBSERVATIONS; MISSPECIFICATION; NON-PARAMETRIC; NUMBER OF SAMPLES; SUMMARY STATISTIC; TOTAL VARIATION; TRAINING DATA SETS;

DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS;

BAYESIAN NETWORKS;

EID: 77955227159     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2010.01.013     Document Type: Conference Paper

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