**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

**Causal Inference**

by

**Miguel A. Hernan, James M. Robins**-

**Chapman & Hall/CRC**

The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.

(

**8984**views)

**Essentials of Statistics: Exercises**

by

**David Brink**-

**BookBoon**

After reading the theory book about Statistics it is time to test your knowledge to make sure that you are well prepared for your exam. This free exercise book follows the same structure as the theory book about Statistics.

(

**14806**views)

**Applied Statistics**

by

**Mohammed A. Shayib**-

**Bookboon**

The book introduces the concepts, definitions, and terminology of the subject in an elementary presentation with a mathematical background which does not surpass college algebra. It should prepare the reader to make a good decision based on data.

(

**9724**views)

**Applied Multivariate Statistical Analysis**

by

**Wolfgang K. Hardle, Leopold Simar**-

**Springer**

The authors present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.

(

**20857**views)