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Computer Age Statistical Inference - Algorithms, Evidence, and Data Science (Hardcover)
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Computer Age Statistical Inference - Algorithms, Evidence, and Data Science (Hardcover)
Series: Institute of Mathematical Statistics Monographs
Expected to ship within 5 - 9 working days
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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.
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