bookCambridge University Press eBooksJul 5, 2016Closed access

Computer Age Statistical Inference

Stanford University

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Abstract

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…

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Topics & keywords

Keywords
  • Frequentist inference
  • Statistical inference
  • Computer science
  • Fiducial inference
  • Markov chain Monte Carlo
  • Machine learning
  • Bayesian inference
  • Artificial intelligence
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