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Finitary probabilistic methods in econophysics / Ubaldo Garibaldi, Enrico Scalas.

By: Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2010.Description: 1 online resource (xiv, 327 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511902055
  • 0511902050
  • 9780511777585
  • 0511777582
Subject(s): Genre/Form: Additional physical formats: Print version:: Finitary probabilistic methods in econophysics.DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB137 .G36 2010eb
Online resources:
Contents:
Individual and statistical descriptions -- Probability and events -- Finite random variables and stochastic processes -- The Pólya process -- Time evolution and finite Markov chains -- The Ehrenfest-Brillouin model -- Applications to stylized models in economics -- Finitary characterization of the Ewens sampling formula -- The Zipf-Simon-Yule process.
Summary: "Econophysics applies the methodology of physics to the study of economics. However, whilst physicists have good understanding of statistical physics, they may be unfamiliar with recent advances in statistical conjectures, including Bayesian and predictive methods. Equally, economists with knowledge of probabilities do not have a background in statistical physics and agent-based models. Proposing a unified view for a dynamic probabilistic approach, this book is useful for advanced undergraduate and graduate students as well as researchers in physics, economics and finance. The book takes a finitary approach to the subject; discussing the essentials of applied probability, and covering finite Markov chain theory and its applications to real systems. Each chapter ends with a summary, suggestions for further reading, and exercises with solutions at the end of the book"-- Provided by publisher
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"Econophysics applies the methodology of physics to the study of economics. However, whilst physicists have good understanding of statistical physics, they may be unfamiliar with recent advances in statistical conjectures, including Bayesian and predictive methods. Equally, economists with knowledge of probabilities do not have a background in statistical physics and agent-based models. Proposing a unified view for a dynamic probabilistic approach, this book is useful for advanced undergraduate and graduate students as well as researchers in physics, economics and finance. The book takes a finitary approach to the subject; discussing the essentials of applied probability, and covering finite Markov chain theory and its applications to real systems. Each chapter ends with a summary, suggestions for further reading, and exercises with solutions at the end of the book"-- Provided by publisher

Includes bibliographical references and indexes.

Individual and statistical descriptions -- Probability and events -- Finite random variables and stochastic processes -- The Pólya process -- Time evolution and finite Markov chains -- The Ehrenfest-Brillouin model -- Applications to stylized models in economics -- Finitary characterization of the Ewens sampling formula -- The Zipf-Simon-Yule process.

Print version record.

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