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Synopsis
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-Barabási 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.
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About the Author
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.
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Statistical inference on random graphs
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848426412
ISBN 13: 9783848426416
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Statistical inference on random graphs
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LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848426412
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Taschenbuch. Condition: 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-Barabási 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. Seller Inventory # 9783848426416
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Statistical inference on random graphs
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848426412
ISBN 13: 9783848426416
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Statistical inference on random graphs : A survey of known and novel methods
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848426412
ISBN 13: 9783848426416
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Taschenbuch. Condition: 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-Barabási 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. Seller Inventory # 9783848426416
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Statistical inference on random graphs
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848426412
ISBN 13: 9783848426416
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Statistical inference on random graphs
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Condition: 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. Seller Inventory # 5521352
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Statistical inference on random graphs
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LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848426412
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Taschenbuch. Condition: 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-Barabási 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, Überseering 33, 22297 Hamburg 100 pp. Englisch. Seller Inventory # 9783848426416
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Statistical inference on random graphs: A survey of known and novel methods
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ISBN 13: 9783848426416
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