Finitary Probabilistic Methods in Econophysics

Saved in:
Bibliographic Details
Title: Finitary Probabilistic Methods in Econophysics
Description: 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.
Authors: Ubaldo Garibaldi, Enrico Scalas
Resource Type: eBook.
Subjects: Physics--Mathematical models, Econometrics, Economics--Mathematical models, Economics--Statistical methods, Statistical physics
Categories: BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Econometrics
Database: eBook Collection (EBSCOhost)
Description
Abstract: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.
ISBN:9780521515597
9780511902055