Maximum a posteriori estimates in linear inverse problems with log-concave priors are proper Bayes estimators

Inverse Problems

Volumn 30, Issue 11, 2014, Pages

  Burger, Martin ^a   Lucka, Felix ^a  

^a UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Bayes cost; Bregman distance; CM estimation; MAP estimation; sparsity

Indexed keywords

COST BENEFIT ANALYSIS; COST FUNCTIONS; COSTS; DIFFERENTIAL EQUATIONS; INVERSE PROBLEMS; MEAN SQUARE ERROR; VARIATIONAL TECHNIQUES;

BREGMAN DISTANCES; CM ESTIMATIONS; LINEAR INVERSE PROBLEMS; MAP ESTIMATION; MAXIMUM A POSTERIORI ESTIMATES; SPARSITY; THEORETICAL ARGUMENTS; VARIATIONAL REGULARIZATION;

COST ESTIMATING;

EID: 84908587167     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/30/11/114004     Document Type: Article

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