Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57) - Hardcover

Name: Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)
Author: Barbour, A. D.; Reinert, Gesine
ISBN: 9781009651721

Barbour, A. D.; Reinert, Gesine

9781009651721: Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)

Hardcover

ISBN 10: 1009651722 ISBN 13: 9781009651721

Verlag: Cambridge University Press, 2026

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A comprehensive look at probabilistic and statistical methods for the analysis of networks, together with their theoretical underpinnings.

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�ber die Autorin bzw. den Autor

A. D. Barbour is Emeritus Professor of Mathematics at the University of Z�rich. He is also Honorary Professorial Fellow in Mathematics at the University of Melbourne and Fellow of the Institute of Mathematical Statistics. He previously co-authored the monographs 'Poisson Approximation' (1992) and 'Logarithmic Combinatorial Structures: A Probabilistic Approach' (2003).

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Verlag: Cambridge University Press
Erscheinungsdatum: 2026
Sprache: Englisch
ISBN 10: 1009651722
ISBN 13: 9781009651721
Einband: Gebundene Ausgabe
Anzahl der Seiten: 984
Kontakt zum Hersteller: Cambridge University Press
https://www.cambridge.org/

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Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)

Barbour, A. D.,Reinert, Gesine

Verlag: Cambridge University Press, 2026

ISBN 10: 1009651722 ISBN 13: 9781009651721

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Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)

Barbour, A. D.; Reinert, Gesine

Verlag: Cambridge University Press, 2026

ISBN 10: 1009651722 ISBN 13: 9781009651721

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Networks (Hardcover)

A.D. Barbour

Verlag: Cambridge University Press, Cambridge, 2026

ISBN 10: 1009651722 ISBN 13: 9781009651721

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Hardcover. Zustand: new. Hardcover. From social networks to biological systems, networks are a fundamental part of modern life. Network analysis is increasingly popular across the mathematical, physical, life and social sciences, offering insights into a range of phenomena, from developing new drugs based on intracellular interactions, to understanding the influence of social interactions on behaviour patterns. This book provides a toolkit for analyzing random networks, together with theoretical justification of the methods proposed. It combines methods from both probability and statistics, teaching how to build and analyze plausible models for random networks, and how to validate such models, to detect unusual features in the data, and to make predictions. Theoretical results are motivated by applications across a range of fields, and classical data sets are used for illustration throughout the book. This book offers a comprehensive introduction to the field for graduate students and researchers. This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour with accessibility, introducing readers to a topic with far-reaching applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781009651721

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Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)

Barbour, A. D.

Verlag: Cambridge University Press, 2026

ISBN 10: 1009651722 ISBN 13: 9781009651721

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Networks (Hardcover)

A.D. Barbour

Verlag: Cambridge University Press, Cambridge, 2026

ISBN 10: 1009651722 ISBN 13: 9781009651721

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Hardcover. Zustand: new. Hardcover. From social networks to biological systems, networks are a fundamental part of modern life. Network analysis is increasingly popular across the mathematical, physical, life and social sciences, offering insights into a range of phenomena, from developing new drugs based on intracellular interactions, to understanding the influence of social interactions on behaviour patterns. This book provides a toolkit for analyzing random networks, together with theoretical justification of the methods proposed. It combines methods from both probability and statistics, teaching how to build and analyze plausible models for random networks, and how to validate such models, to detect unusual features in the data, and to make predictions. Theoretical results are motivated by applications across a range of fields, and classical data sets are used for illustration throughout the book. This book offers a comprehensive introduction to the field for graduate students and researchers. This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour with accessibility, introducing readers to a topic with far-reaching applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verk�ufers 9781009651721

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