On the geometric modeling approach to empirical null distribution estimation for empirical Bayes modeling of multiple hypothesis testing
نویسندگان
چکیده
منابع مشابه
Two modeling strategies for empirical Bayes estimation.
Empirical Bayes methods use the data from parallel experiments, for instance observations Xk ~ 𝒩 (Θ k , 1) for k = 1, 2, …, N, to estimate the conditional distributions Θ k |Xk . There are two main estimation strategies: modeling on the θ space, called "g-modeling" here, and modeling on the×space, called "f-modeling." The two approaches are de- scribed and compared. A series of computational fo...
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This article is intended as an expositional overview of empirical Bayes modeling methodology, presented in a simplified framework that reduces technical difficulties. The two principal empirical Bayes approaches, called f -modeling and g-modeling here, are described and compared. A series of computational formulas are developed to assess the frequentist accuracy of empirical Bayes applications....
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ژورنال
عنوان ژورنال: Computational Biology and Chemistry
سال: 2013
ISSN: 1476-9271
DOI: 10.1016/j.compbiolchem.2012.12.001