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Computer age statistical inference[electronic resource] :algorithms, evidence, and data science /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.50285
書名/作者:	Computer age statistical inference : algorithms, evidence, and data science // Bradley Efron, Trevor Hastie.
作者:	Efron, Bradley.
其他作者:	Hastie, Trevor.
出版者:	New York : : Cambridge University Press,, 2016.
面頁冊數:	xix, 475 p. : : ill., digital ;; 24 cm.
標題:	Mathematical statistics - Data processing.
ISBN:	9781316576533
ISBN:	9781107149892
摘要、提要註:	The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
電子資源:	https://doi.org/10.1017/CBO9781316576533

Computer age statistical inference[electronic resource] :algorithms, evidence, and data science /
Efron, Bradley.

Computer age statistical inferencealgorithms, evidence, and data science /[electronic resource] :Bradley Efron, Trevor Hastie. - New York :Cambridge University Press,2016. - xix, 475 p. :ill., digital ;24 cm. - Institute of Mathematical Statistics monographs ;5. - Institute of Mathematical Statistics monographs ;5..

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

ISBN: 9781316576533Subjects--Topical Terms:

465468
Mathematical statistics
--Data processing.

LC Class. No.: QA276.4 / .E47 2016

Dewey Class. No.: 519.50285

Computer age statistical inference[electronic resource] :algorithms, evidence, and data science /
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