Bayesian Variable Selection for Latent Class Models

Biometrics

Volumn 67, Issue 3, 2011, Pages 917-925

  Ghosh, Joyee ^a   Herring, Amy H ^b   Siega Riz, Anna Maria ^c  

^a UNIVERSITY OF IOWA   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL   (United States)

Author keywords

Bayesian model averaging; Finite mixture model; Markov chain Monte Carlo; Multinomial logit model; Variable selection

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; STOCHASTIC MODELS;

BAYESIAN MODEL AVERAGING; BAYESIAN VARIABLE SELECTION; FINITE MIXTURE MODELING; LATENT CLASS; LATENT CLASS MODEL; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MULTINOMIAL LOGIT MODEL; VARIABLES SELECTIONS; WEIGHT GAIN;

STOCHASTIC SYSTEMS;

BAYESIAN ANALYSIS; BIOMETRY; BODY MASS; ESTIMATION METHOD; LOGIT ANALYSIS; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PREDICTION; PREGNANCY; SAMPLER; UNCERTAINTY ANALYSIS; WEIGHT;

EID: 80052793612     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01502.x     Document Type: Article

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