Statistical inference on random graphs: A survey of known and novel methods - Couverture souple

Hussami, Peter

9783848426416: Statistical inference on random graphs: A survey of known and novel methods

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ISBN 10 : 3848426412 ISBN 13 : 9783848426416

Editeur : LAP LAMBERT Academic Publishing, 2012

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The study of random graphs is a field that emerged in the second half of the 20th century. Most of the work in this area is combinatorial in nature: a random model is assumed and used for computing various asymptotic properties on the graph. The work contained in this book takes a reverse approach. Our questions are: given a large graph realization, what can we learn about it? How can we hypothesize an underlying model? How can we test the graph for the hypothesis? The first half of the book is a survey of some well-known and less well-known methods, and apply some of them on various "scale-free" graphs, including the famous Albert-Barab�si graph model. Then we proceed beyond the scale-free realm to examine the problem of generation uniformly distributed graphs with a given expected degree sequence. We hope every reader will find something to enjoy in and/or learn from the book.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

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Biographie de l'auteur

Peter Hussami completed his BS in Mathematics at MIT, and his PhD at the Central European University. His research interests are centered around inference on large random structures.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3848426412
ISBN 13: 9783848426416
Reliure: Broch�
Nombre de pages: 100
Coordonn�es du fabricant: non disponible
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Statistical inference on random graphs

Peter Hussami

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848426412 ISBN 13 : 9783848426416

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hussami PeterPeter Hussami completed his BS in Mathematics at MIT, and his PhD at the Central European University. His research interests are centered around inference on large random structures.The study of random graphs is a fi. N� de r�f. du vendeur 5521352

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Statistical inference on random graphs : A survey of known and novel methods

Peter Hussami

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848426412 ISBN 13 : 9783848426416

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study of random graphs is a field that emerged in the second half of the 20th century. Most of the work in this area is combinatorial in nature: a random model is assumed and used for computing various asymptotic properties on the graph. The work contained in this book takes a reverse approach. Our questions are: given a large graph realization, what can we learn about it How can we hypothesize an underlying model How can we test the graph for the hypothesis The first half of the book is a survey of some well-known and less well-known methods, and apply some of them on various 'scale-free' graphs, including the famous Albert-Barab�si graph model. Then we proceed beyond the scale-free realm to examine the problem of generation uniformly distributed graphs with a given expected degree sequence. We hope every reader will find something to enjoy in and/or learn from the book. N� de r�f. du vendeur 9783848426416

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Statistical inference on random graphs

Peter Hussami

Edit� par LAP LAMBERT Academic Publishing Mrz 2012, 2012

ISBN 10 : 3848426412 ISBN 13 : 9783848426416

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study of random graphs is a field that emerged in the second half of the 20th century. Most of the work in this area is combinatorial in nature: a random model is assumed and used for computing various asymptotic properties on the graph. The work contained in this book takes a reverse approach. Our questions are: given a large graph realization, what can we learn about it How can we hypothesize an underlying model How can we test the graph for the hypothesis The first half of the book is a survey of some well-known and less well-known methods, and apply some of them on various 'scale-free' graphs, including the famous Albert-Barab�si graph model. Then we proceed beyond the scale-free realm to examine the problem of generation uniformly distributed graphs with a given expected degree sequence. We hope every reader will find something to enjoy in and/or learn from the book. 100 pp. Englisch. N� de r�f. du vendeur 9783848426416

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Statistical inference on random graphs

Peter Hussami

Edit� par LAP LAMBERT Academic Publishing M�r 2012, 2012

ISBN 10 : 3848426412 ISBN 13 : 9783848426416

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Taschenbuch. Etat : Neu. Neuware -The study of random graphs is a field that emerged in the second half of the 20th century. Most of the work in this area is combinatorial in nature: a random model is assumed and used for computing various asymptotic properties on the graph. The work contained in this book takes a reverse approach. Our questions are: given a large graph realization, what can we learn about it How can we hypothesize an underlying model How can we test the graph for the hypothesis The first half of the book is a survey of some well-known and less well-known methods, and apply some of them on various 'scale-free' graphs, including the famous Albert-Barab�si graph model. Then we proceed beyond the scale-free realm to examine the problem of generation uniformly distributed graphs with a given expected degree sequence. We hope every reader will find something to enjoy in and/or learn from the book.Books on Demand GmbH, �berseering 33, 22297 Hamburg 100 pp. Englisch. N� de r�f. du vendeur 9783848426416

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