Nonparametric Bayesian estimation of positive false discovery rates

Biometrics

Volumn 63, Issue 4, 2007, Pages 1126-1134

  Tang, Yongqiang ^a   Ghosal, Subhashis ^b   Roy, Anindya ^c  

^a SUNY DOWNSTATE MEDICAL CENTER   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Dirichlet mixture; Dirichlet process; Markov chain Monte Carlo; Multiple testing; Positive false discovery rate; Posterior estimates

Indexed keywords

CHAINS; MARKOV PROCESSES; MONTE CARLO METHODS; STATISTICAL TESTS;

DIRICHLET MIXTURE; DIRICHLET PROCESS; DIRICHLET PROCESS MIXTURE MODEL; FALSE DISCOVERY RATE; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MULTIPLE TESTING; NON-PARAMETRIC BAYESIAN; POSITIVE FALSE DISCOVERY RATE; POSTERIOR ESTIMATE;

BAYESIAN NETWORKS;

ALGORITHM; BAYESIAN ANALYSIS; DATA SET; MARKOV CHAIN; MONTE CARLO ANALYSIS; PERFORMANCE ASSESSMENT; SIMULATION;

ALGORITHM; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; FALSE POSITIVE RESULT; MATHEMATICAL MODEL; NULL HYPOTHESIS; PROBABILITY; SIMULATION;

EID: 36749059023     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00819.x     Document Type: Article

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