Logo

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

Large book cover: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
by

Publisher: Stanford University
ISBN/ASIN: 1107149894
Number of pages: 493

Description:
This book takes us on a 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.

Home page url

Download or read it online for free here:
Download link
(8.1MB, PDF)

Similar books

Book cover: Introduction to the Theory of StatisticsIntroduction to the Theory of Statistics
by - McGraw-Hill
A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.
(36032 views)
Book cover: Statistical Tools for EconomistsStatistical Tools for Economists
by - University of California, Berkeley
The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.
(20991 views)
Book cover: OpenIntro StatisticsOpenIntro Statistics
by - OpenIntro
OpenIntro Statistics is intended for introductory statistics courses at the high school through university levels. There are a large selection of exercises at the end of each chapter useful for practice or homework assignments.
(11503 views)
Book cover: Bayesian Methods for Statistical AnalysisBayesian Methods for Statistical Analysis
by - ANU Press
A book on statistical methods for analysing a wide variety of data. Topics: bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, finite population inference, biased sampling and nonignorable nonresponse, etc.
(6854 views)