A Bayesian Lasso via reversible-jump MCMC

Signal Processing

Volumn 91, Issue 8, 2011, Pages 1920-1932

  Chen, Xiaohui ^a   Jane Wang, Z ^a   McKeown, Martin J ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Dimensionality reduction; Fully Bayesian modeling; Lasso; Reversible jump Markov chain Monte Carlo (RJ MCMC); Sparse signal recovery; Variable selection

Indexed keywords

DIMENSIONALITY REDUCTION; FULLY BAYESIAN MODELING; LASSO; REVERSIBLE-JUMP MARKOV CHAIN MONTE CARLO (RJ-MCMC); SPARSE SIGNALS; VARIABLE SELECTION;

ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; INFERENCE ENGINES; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MONTE CARLO METHODS; RESONANCE; SIGNAL RECONSTRUCTION;

REAL VARIABLES;

EID: 79955473939     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.02.014     Document Type: Article

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