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Large-Scale Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Bradley Efron 作者

Cambridge University Press

譯者

2010-8-5 出版日期

276 頁數

GBP 48.00 價格

Hardcover

叢書系列

9780521192491 圖書編碼

Large-Scale Inference 在線電子書圖書標籤: 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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發表於2024-12-23

Large-Scale Inference 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Large-Scale Inference 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Large-Scale Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Large-Scale Inference 在線電子書用戶評價

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a collection of his papers without a consistent presentation... weird notations

評分☆☆☆☆☆

講各種FDR的一本書不錯

評分☆☆☆☆☆

a collection of his papers without a consistent presentation... weird notations

評分☆☆☆☆☆

a collection of his papers without a consistent presentation... weird notations

評分☆☆☆☆☆

a collection of his papers without a consistent presentation... weird notations

Large-Scale Inference 在線電子書著者簡介

Large-Scale Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Large-Scale Inference 在線電子書圖書描述

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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