【文件属性】：
文件名称：Computer Age Statistical Inference - Algorithms, Evidence and Data Science
文件大小：4.89MB
文件格式：PDF
更新时间：2020-09-28 17:24:12
Statistical Inference
大数据时代的统计学
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.