Description: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. '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? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. 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. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
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Location: Hillsdale, NSW
End Time: 2025-02-07T23:38:46.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money back or replacement (buyer's choice)
EAN: 9781108823418
UPC: 9781108823418
ISBN: 9781108823418
MPN: N/A
Number of Pages: 506 Pages
Publication Name: Computer Age Statistical Inference, Student Edition : Algorithms, Evidence, and Data Science
Language: English
Publisher: Cambridge University Press
Item Height: 0.9 in
Subject: Probability & Statistics / General, General
Publication Year: 2021
Item Weight: 28.9 Oz
Type: Textbook
Item Length: 9 in
Subject Area: Mathematics
Author: Trevor Hastie, Bradley Efron
Item Width: 6 in
Series: Institute of Mathematical Statistics Monographs
Format: Trade Paperback
