Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling

Computational Statistics and Data Analysis

Volumn 55, Issue 3, 2011, Pages 1498-1508

  Liu, Rui Yin ^a,c   Tao, Jian ^a   Shi, Ning Zhong ^a   He, Xuming ^b  

^a NORTHEAST NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c SHENYANG NORMAL UNIVERSITY   (China)

Author keywords

Classification; Markov chain Monte Carlo method; Mixture normal models; Model selection; Reversible jump algorithms

Indexed keywords

BAYESIAN ANALYSIS; BIOLOGICAL EXPERIMENTS; CLASSIFICATION; COMPONENT PARAMETERS; DATA SETS; DOSE RESPONSE; FINITE MIXTURE MODELS; MARKOV CHAIN MONTE CARLO METHOD; MODEL SELECTION; MULTI-DIMENSIONAL PARAMETERS; NORMAL MIXTURES; NUMBER OF COMPONENTS; POSTERIOR PROBABILITY; REVERSIBLE JUMP; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; REVERSIBLE JUMP MCMC; UNIVARIATE;

MARKOV PROCESSES; MIXTURES;

MONTE CARLO METHODS;

EID: 78649320476     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.10.016     Document Type: Article

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