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Bradley Efron 作者

Cambridge University Press

译者

2010-8-5 出版日期

276 页数

GBP 48.00 价格

Hardcover

丛书系列

9780521192491 图书编码

Large-Scale Inference 在线电子书图书标签: 机器学习 Statistics 统计学习 large-scale Bayesian 人工智能计算机科学算法

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发表于2024-11-22

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Large-Scale Inference 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Large-Scale Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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讲各种FDR的一本书不错

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

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讲各种FDR的一本书不错

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讲各种FDR的一本书不错

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讲各种FDR的一本书不错

Large-Scale Inference 在线电子书著者简介

Large-Scale Inference 在线电子书图书目录

Large-Scale Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Large-Scale Inference 在线电子书图书描述

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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