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

by Mohammad Saber Fallah Nezhad (ed.)

**Publisher**: InTech 2014**ISBN-13**: 9789535113645**Number of pages**: 164

**Description**:

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.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Concepts and Applications of Inferential Statistics**

by

**Richard Lowry**

Free full-length textbook written by a professor of psychology at Vassar College in Poughkeepsie, it offers teachers and students of statistics lots of information. The book covers probability, distribution and correlation, and regression.

(

**16877**views)

**Beginning Statistics**

by

**Douglas S. Shafer, Zhiyi Zhang**-

**lardbucket.org**

This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market.

(

**4994**views)

**Introduction to Statistical Thinking**

by

**Benjamin Yakir**-

**The Hebrew University of Jerusalem**

This is an introduction to statistics, with R, without calculus. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more.

(

**8556**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.

(

**7312**views)