暂无相关内容,正在全力查找中
Bradley Efron
人物简介:
Large-Scale Inference书籍相关信息
- ISBN:9780521192491
- 作者:Bradley Efron
- 出版社:Cambridge University Press
- 出版时间:2010-8-5
- 页数:276
- 价格:GBP 48.00
- 纸张:暂无纸张
- 装帧:Hardcover
- 开本:暂无开本
- 语言:暂无语言
- 丛书:Institute of Mathematical Statistics Monographs
- 适合人群:Data scientists, statisticians, machine learning engineers, computer scientists, researchers in academia and industry, and anyone interested in large-scale data analysis and inference techniques
- TAG:statistics / Machine Learning / Data Science / Big Data / Inference Methods
- 豆瓣评分:暂无豆瓣评分
- 更新时间:2025-05-20 21:32:15
内容简介:
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.
全格式电子版 - 免费下载