Large-Scale Inference

书名：Large-Scale InferenceEmpiricalBayesMethodsforEstimation,Testing,andPrediction
作者：BradleyEfron
译者：
ISBN：9780521192491
出版社：CambridgeUniversityPress
出版时间：2010-8-5
格式：epub/mobi/azw3/pdf
页数：276
豆瓣评分：

书籍简介：

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.

作者简介：

书友短评：

@ ric 🇺🇦 a collection of his papers without a consistent presentation… weird notations @ ggww 讲各种FDR的一本书 不错 @ ggww 讲各种FDR的一本书 不错 @ ric 🇺🇦 a collection of his papers without a consistent presentation… weird notations

　　Institute of Mathematical Statistics Monographs(共5册)，这套丛书还有《Computer Age Statistical Inference》《Case-Control Studies》《》《Computer Age Statistical Inference (Student Edition)》。

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