Logo

Dynamic Programming and Bayesian Inference: Concepts and Applications

Small book cover: Dynamic Programming and Bayesian Inference: Concepts and Applications

Dynamic Programming and Bayesian Inference: Concepts and Applications
by

Publisher: InTech
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.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Statistics Review: Including a probability theory backgroundStatistics Review: Including a probability theory background
- Wikipedia
Statistics is the study of the collection, analysis, interpretation, presentation and organization of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.
(7163 views)
Book cover: SPSS: Stats Practically Short and SimpleSPSS: Stats Practically Short and Simple
by - BookBoon
This textbook is for people who want to know how to use SPSS for analyzing data. The author has considerable experience of teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.
(11338 views)
Book cover: Mathematical StatisticsMathematical Statistics
by - Open Court Pub. Co
The book shifts the emphasis in the study of statistics in the direction of the consideration of the underlying theory involved in certain important methods of statistical analysis, and introduces mathematical statistics to a wider range of readers.
(5512 views)
Book cover: Statistical Treatment of Experimental DataStatistical Treatment of Experimental Data
by - McGraw Hill
A concise, highly readable introduction to statistical methods. Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental data.
(9781 views)