The twenty-first century has seen a breathtaking expansion of statistical methodology both in scope & in influence ' Big data' 'data science' & 'machine learning' have become familiar terms in the news as statistical methods are brought to bear upon the enormous data sets of modern science & commerce How did we get here? & 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 & bootstrap random forests neural networks Markov chain Monte Carlo inference after model selection & dozens more The distinctly modern approach integrates methodology & algorithms with statistical inference The book ends with speculation on the future direction of statistics & data science