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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Hardcover - 2016 - 1st Edition

by Bradley Efron; Trevor Hastie


From the publisher

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.

Details

  • Title Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
  • Author Bradley Efron; Trevor Hastie
  • Binding Hardcover
  • Edition number 1st
  • Edition 1
  • Pages 495
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Date 2016
  • ISBN 9781107149892 / 1107149894
  • Weight 2.05 lbs (0.93 kg)
  • Dimensions 11 x 6.5 x 2 in (27.94 x 16.51 x 5.08 cm)
  • Library of Congress subjects Mathematical statistics - Data processing
  • Library of Congress Catalog Number 2016028353
  • Dewey Decimal Code 519.502

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  • Choice, 03/01/2017, Page 0
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