Maximum likelihood from evidential data: An extension of the EM algorithm

Advances in Intelligent and Soft Computing

Volumn 77, Issue , 2010, Pages 181-188

  Denœux, Thierry ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

Belief functions; Dempster Shafer theory; Statistical inference; Uncertain data

Indexed keywords

COMPUTATION THEORY; IMAGE SEGMENTATION; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; SOFT COMPUTING; STATISTICAL METHODS; UNCERTAINTY ANALYSIS;

BELIEF FUNCTION; DEMPSTER-SHAFER THEORY; EXPECTATION-MAXIMIZATION ALGORITHMS; GENERALIZED LIKELIHOOD FUNCTION; STATISTICAL INFERENCE; STATISTICAL PARAMETER ESTIMATIONS; UNCERTAIN DATAS; VARIANCE ESTIMATION;

PARAMETER ESTIMATION;

EID: 80052273061     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14746-3_23     Document Type: Conference Paper

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