Nonparametric Bayesian Estimation of Positive False Discovery Rates
نویسندگان
چکیده
منابع مشابه
Nonparametric bayesian estimation of positive false discovery rates.
We propose a Dirichlet process mixture model (DPMM) for the P-value distribution in a multiple testing problem. The DPMM allows us to obtain posterior estimates of quantities such as the proportion of true null hypothesis and the probability of rejection of a single hypothesis. We describe a Markov chain Monte Carlo algorithm for computing the posterior and the posterior estimates. We propose a...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2007
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2007.00819.x