A Bayesian hierarchical model for classification with selection of functional predictors

Biometrics

Volumn 66, Issue 2, 2010, Pages 463-473

  Zhu, Hongxiao ^a   Vannucci, Marina ^b   Cox, Dennis D ^b  

^a UNIVERSITY OF TEXAS   (United States)

^b Rice University   (United States)

Author keywords

Bayesian hierarchical model; Evolutionary Monte Carlo; Fluorescence spectroscopy; Functional data classification; Functional predictor selection

Indexed keywords

CLASSIFICATION (OF INFORMATION); FLUORESCENCE; HIERARCHICAL SYSTEMS; MIXING; MONTE CARLO METHODS;

BATCH EFFECT; BAYESIAN HIERARCHICAL MODELLING; DATA APPLICATION; DATA CLASSIFICATION; EVOLUTIONARY MONTE CARLO; FIXED EFFECTS; FUNCTIONAL DATA CLASSIFICATION; FUNCTIONAL DATAS; FUNCTIONAL PREDICTOR SELECTION; PREDICTOR SELECTIONS;

FLUORESCENCE SPECTROSCOPY;

ALGORITHM; BAYESIAN ANALYSIS; FLUORESCENCE SPECTROSCOPY; MONTE CARLO ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SIMULATION;

ARTIFACT; BAYES THEOREM; CLASSIFICATION; FEMALE; HUMAN; PRECANCEROUS CONDITIONS; PREDICTIVE VALUE; SPECTROFLUOROMETRY; UTERINE CERVICAL NEOPLASMS;

ARTIFACTS; BAYES THEOREM; CLASSIFICATION; FEMALE; HUMANS; PRECANCEROUS CONDITIONS; PREDICTIVE VALUE OF TESTS; SPECTROMETRY, FLUORESCENCE; UTERINE CERVICAL NEOPLASMS;

EID: 77952974130     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01283.x     Document Type: Article

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