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Markov random fields and applications

โœ Scribed by Ross Kindermann


Publisher
Amer Mathematical Society
Year
1980
Tongue
English
Leaves
147
Series
Contemporary Mathematics ; V. 1
Edition
First Edition
Category
Library

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๐Ÿ“œ SIMILAR VOLUMES


Markov Random Fields and Their Applicati
โœ Ross Kindermann ๐Ÿ“‚ Library ๐Ÿ“… 1980 ๐Ÿ› American Mathematical Society ๐ŸŒ English

The study of Markov random fields has brought exciting new problems to probability theory which are being developed in parallel with basic investigation in other disciplines, most notably physics. The mathematical and physical literature is often quite technical. This book aims at a more gentle intr

Markov Random Fields And Their Applicati
โœ Ross Kindermann ๐Ÿ“‚ Library ๐Ÿ“… 1980 ๐Ÿ› American Mathematical Society ๐ŸŒ English

The study of Markov random fields has brought exciting new problems to probability theory which are being developed in parallel with basic investigation in other disciplines, most notably physics. The mathematical and physical literature is often quite technical. This book aims at a more gen

Markov Random Fields and Their Applicati
โœ Ross Kindermann (ed.) ๐Ÿ“‚ Library ๐Ÿ“… 1980 ๐Ÿ› Amer Mathematical Society ๐ŸŒ English

The study of Markov random fields has brought exciting new problems to probability theory which are being developed in parallel with basic investigation in other disciplines, most notably physics. The mathematical and physical literature is often quite technical. This book aims at a more gentle

Markov Random Fields
โœ Yu. A. Rozanov (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1982 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p>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

Markov Random Fields
โœ Yu. A. Rozanov (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1982 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p>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