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

by Bradley Efron, Trevor Hastie

**Publisher**: Stanford University 2016**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.

Download or read it online for free here:

**Download link**

(8.1MB, PDF)

## Similar books

**Statistical Tools for Economists**

by

**Daniel McFadden**-

**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.

(

**21491**views)

**Collaborative Statistics**

by

**Barbara Illowsky, Susan Dean**-

**Illowsky Publising**

Intended for introductory statistics courses for students at two and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications rather than the theory.

(

**20926**views)

**Dynamic Programming and Bayesian Inference: Concepts and Applications**

by

**Mohammad Saber Fallah Nezhad (ed.)**-

**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.

(

**8550**views)

**A First Course In Mathematical Statistics**

by

**C.E. Weatherburn**-

**Cambridge University Press**

This book provides the mathematical foundations of statistics. It explains the principles, and proves the formulae to give validity to the methods of the interpretation of statistical data. It is of interest to students of a wide variety of subjects.

(

**10869**views)