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

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Garibaldi, Ubaldo, author.
Scalas, Enrico, author.
Language:
English
Subjects (All):
Economics--Statistical methods.
Economics.
Statistical physics.
Economics--Mathematical models.
Physics--Mathematical models.
Physics.
Econometrics.
Physical Description:
1 online resource (xiv, 327 pages) : digital, PDF file(s).
Place of Publication:
Cambridge : Cambridge University Press, 2010.
Language Note:
English
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.
Contents:
Introductory remarks
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.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references and indexes.
ISBN:
1-107-20642-1
0-511-77758-2
1-282-77143-4
9786612771439
0-511-90126-7
0-511-79890-3
0-511-90205-0
0-511-79750-8
0-511-90047-3
OCLC:
663861927

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