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Large-Scale Inference

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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.

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發表於2024-05-17

Large-Scale Inference 2024 pdf epub mobi 電子書下載

Large-Scale Inference 2024 pdf epub mobi 電子書下載

Large-Scale Inference 2024 pdf epub mobi 電子書下載

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出版者:Cambridge University Press

作者:Bradley Efron

出品人:

頁數:276

譯者:

出版時間:2010-8-5

價格:GBP 48.00

裝幀:Hardcover

isbn號碼:9780521192491

叢書系列:

圖書標籤: 機器學習 Statistics 統計學習 large-scale Bayesian 人工智能計算機科學算法

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