Tracked shipping to Austria with premium packaging for just 3,99 € 

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Markov Random Fields
Type
Physical Book
Author
Translated by
Publisher
Language
English
Pages
201
Format
Paperback
Dimensions
23.4 x 15.6 x 1.2 cm
Weight
0.31 kg.
ISBN13
9781461381921
Categories

Markov Random Fields

Y. a. Rozanov (Author) · Constance M. Elson (Translated by) · Springer · Paperback

Markov Random Fields - Rozanov, Y. a. ; Elson, Constance M.

Cheaper New Book Imported to Austria
Delivery: 13 Aug - 20 Aug Shipping: 13 to 17 business days.
55,04 €
Faster New Book Imported to Austria
Delivery: 03 Aug - 05 Aug Shipping: 5 to 6 business days.
70,64 €
Import costs and 10% VAT included in the price ✅
55,04 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Markov Random Fields"

In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the process and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable" phase state," so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional "time," where the role of "past" and "future" are taken by arbitrary complementary regions in an appro- priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews