Transcription of COMPUTER AGE STATISTICAL I NF ER C
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COMPUTER AGE STATISTICAL I NF ER C
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.
18 Neural Networks and Deep Learning 351 18.1 Neural Networks and the Handwritten Digit Problem 353 18.2 Fitting a Neural Network 356 18.3 Autoencoders 362 18.4 Deep Learning 364 18.5 Learning a Deep Network 368 18.6 Notes and Details 371 19 Support-Vector Machines and Kernel Methods 375 19.1 Optimal Separating Hyperplane 376
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