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: Dynamic Programming and Bayesian Inference: Concepts and ApplicationsDynamic Programming and Bayesian Inference: Concepts and Applications
by - InTech
Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.
(6737 views)
Book cover: Introduction to Statistical ThoughtIntroduction to Statistical Thought
by
Upper undergraduate or graduate book in statistical thinking for students with a background in calculus and the ability to think abstractly. The focus is on ideas and concepts, as opposed to technical details of how to put those ideas into practice.
(14603 views)
Book cover: A Feel for StatisticsA Feel for Statistics
by - scientificlanguage.com
Here I present statistics for the ordinary person. Examples are taken from ordinary life. The book begins with basic concepts behind the statistics and never gets harder than simple arithmetic. The course is presented as a series of key ideas.
(4890 views)
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.
(31924 views)