Share
Computer age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)
Bradley Efron
(Author)
·
Trevor Hastie
(Author)
·
Cambridge University Press
· Hardcover
Computer age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs) - Efron, Bradley ; Hastie, Trevor
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Tuesday, July 16 and
Tuesday, July 23.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Computer age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)"
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.
