No image available
DISCRETE PROBABILITY MODELS AND METHODS PROBABILITY ON GRAPHS AND TREES MARKOV CHAINS AND RANDOM FIELDS ENTROPY AND CODING (HB 2017) 2017
by BREMAUD P
- New
A$297.78
A$12.27
Delivery to USA
Standard delivery: 5 to 10 days
More delivery options
Standard delivery: 5 to 10 days
Ships from XLANCEBOOKS L.L.C. (India)
Details
- Title DISCRETE PROBABILITY MODELS AND METHODS PROBABILITY ON GRAPHS AND TREES MARKOV CHAINS AND RANDOM FIELDS ENTROPY AND CODING (HB 2017)
- Author BREMAUD P
- Binding unknown
- Edition USA Edition
- Condition New
- Language ENG
- Publisher Springer
- Publication date 2017
- Bookseller's Inventory # CBS 9783319434759
- ISBN 9783319434759
- Quantity available 1
About XLANCEBOOKS L.L.C. India
Reader reviews for DISCRETE PROBABILITY MODELS AND METHODS PROBABILITY ON GRAPHS AND TREES MARKOV CHAINS AND RANDOM FIELDS ENTROPY AND CODING (HB 2017)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends far beyond the present text. Although the examples treated in the book relate to the possible applications, in the communication and computing sciences, in operations research and in physics, this book is in the first instance concerned with theory.
The level of the book is that of a beginning graduate course. It is self-contained, the prerequisites consisting merely of basic calculus (series) and basic linear algebra (matrices). The reader is not assumed to be trained in probability since the first chapters give in considerable detail the background necessary to understand the rest of the book.