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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.

'They all broke the rules. They all crossed into forbidden territory. They all tampered with the laws that lay down who should be loved, and how. And how much.' This is the story of Rahel and Estha, twins growing up among the banana vats and peppercorns of their blind grandmother's factory, and amid scenes of political turbulence in Kerala. Armed only with the innocence of youth, they fashion a childhood in the shade of the wreck that is their family: their lonely, lovely mother, their beloved Uncle Chacko (pickle baron, radical Marxist, bottom-pincher) and their sworn enemy, Baby Kochamma (ex-nun, incumbent grand-aunt). Arundhati Roy's Booker Prize-winning novel Computer Age Statistical Inference: Algorithms, Evidence, and Data Science pdf was the literary sensation of the 1990s: a story anchored to anguish but fuelled by wit and magic. In her latest tour de force, acclaimed author-illustrator Lauren Child introduces a surprisingly endearing character, and assures young readers there's enough love for all of us.

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Author: Bradley Efron,Trevor Hastie
Number of Pages: 492 pages
Published Date: 17 Dec 2016
Publisher: CAMBRIDGE UNIVERSITY PRESS
Publication Country: Cambridge, United Kingdom
Language: English
ISBN: 9781107149892
Download Link: Click Here
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