The Resource Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource)
Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource)
Resource Information
The item Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 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 SteinChen 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 selfcontained, 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.
 Language
 eng
 Extent
 1 online resource (XIV, 559 pages)
 Contents

 Introduction
 1.Events and probability
 2.Random variables
 3.Bounds and inequalities
 4.Almostsure convergence
 5.Coupling and the variation distance
 6.The probabilistic method
 7.Codes and trees
 8.Markov chains
 9.Branching trees
 10.Markov fields on graphs
 11.Random graphs
 12.Recurrence of Markov chains
 13.Random walks on graphs
 14.Asymptotic behaviour of Markov chains
 15.Monte Carlo sampling
 16. Convergence rates
 Appendix
 Bibliography
 Isbn
 9783319434766
 Label
 Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
 Title
 Discrete Probability Models and Methods
 Title remainder
 Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
 Statement of responsibility
 by Pierre Brémaud
 Language
 eng
 Summary
 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 SteinChen 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 selfcontained, 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.
 Assigning source
 Provided by publisher
 http://library.link/vocab/creatorName
 Brémaud, Pierre
 Image bit depth
 0
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement

 Springer eBooks
 Probability Theory and Stochastic Modelling,
 Series volume
 78
 http://library.link/vocab/subjectName

 Mathematics
 Computer communication systems
 Coding theory
 Mathematical statistics
 Probabilities
 Graph theory
 Mathematics
 Probability Theory and Stochastic Processes
 Probability and Statistics in Computer Science
 Graph Theory
 Coding and Information Theory
 Computer Communication Networks
 Label
 Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introduction  1.Events and probability  2.Random variables  3.Bounds and inequalities  4.Almostsure convergence  5.Coupling and the variation distance  6.The probabilistic method  7.Codes and trees  8.Markov chains  9.Branching trees  10.Markov fields on graphs  11.Random graphs  12.Recurrence of Markov chains  13.Random walks on graphs  14.Asymptotic behaviour of Markov chains  15.Monte Carlo sampling  16. Convergence rates  Appendix  Bibliography
 Control code
 9783319434766
 Dimensions
 unknown
 Extent
 1 online resource (XIV, 559 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319434766
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319434766
 Other physical details
 92 illustrations
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)972330747
 Label
 Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introduction  1.Events and probability  2.Random variables  3.Bounds and inequalities  4.Almostsure convergence  5.Coupling and the variation distance  6.The probabilistic method  7.Codes and trees  8.Markov chains  9.Branching trees  10.Markov fields on graphs  11.Random graphs  12.Recurrence of Markov chains  13.Random walks on graphs  14.Asymptotic behaviour of Markov chains  15.Monte Carlo sampling  16. Convergence rates  Appendix  Bibliography
 Control code
 9783319434766
 Dimensions
 unknown
 Extent
 1 online resource (XIV, 559 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319434766
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319434766
 Other physical details
 92 illustrations
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)972330747
Subject
 Coding theory
 Computer Communication Networks
 Computer communication systems
 Graph Theory
 Graph theory
 Mathematical statistics
 Mathematics
 Probabilities
 Probability Theory and Stochastic Processes
 Probability and Statistics in Computer Science
 Coding and Information Theory
Member of
 Probability Theory and Stochastic Modelling,, 78
 Springer eBooks, Mathematics and Statistics Collection
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/DiscreteProbabilityModelsandMethods/1ZJHUp50E_I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/DiscreteProbabilityModelsandMethods/1ZJHUp50E_I/">Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding, by Pierre Brémaud, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>