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Large-scale interval and point estimates from an empirical Bayes extension of confidence posteriors
Large-scale interval point estimates empirical Bayes extension confidence posteriors
2011/3/4
In statistical genomics, bioinformatics, and neuroinformatics, truth values of multiple
hypotheses are often modeled as random quantities of a common mixture distribution in order to estimate false d...
In this paper, a truncated hybrid method is proposed and developed for
solving sparse large-scale nonlinear programming problems. In the hybrid
method,
a symmetric system of linear equations, inste...