000			nam a22 7a 4500
999			_c39025 _d39025
008			190218b2016 xxu||||| |||| 00| 0 eng d
020			_a9781107149892
082			_a519.5028 EFR-B
100			_aEfron, Bradley
245			_aComputer age statistical inference : _balgorithms, evidence, and data science / _cBradley Efron and Trevor Hastie
260			_aNew York _bCambridge University Press _c2016
300			_a475 p.
365			_aGBP _b45.99.
500			_aThe 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.
650			_aMathematical statistics--Data processing
650			_aMathematical statistics
650			_aMachine learning--Statistical methods
650			_aStatistics
700			_aHastie, Trevor