Uncertainty Analysis in Econometrics with Applications

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Last edited by ImportBot
February 26, 2022 | History

Uncertainty Analysis in Econometrics with Applications

Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization.

This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.

Publish Date
Publisher
Springer
Pages
336

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Previews available in: English

Edition Availability
Cover of: Uncertainty Analysis in Econometrics with Applications
Uncertainty Analysis in Econometrics with Applications: Proceedings of the Sixth International Conference of the Thailand Econometric Society TES'2013
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource : in English
Cover of: Uncertainty Analysis in Econometrics with Applications
Uncertainty Analysis in Econometrics with Applications
Dec 14, 2012, Springer
paperback

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Book Details


Edition Notes

Source title: Uncertainty Analysis in Econometrics with Applications (Advances in Intelligent Systems and Computing)

Classifications

Library of Congress
HB139 .H88 2013, Q342

The Physical Object

Format
paperback
Number of pages
336

ID Numbers

Open Library
OL28269886M
ISBN 10
3642354424
ISBN 13
9783642354427
LCCN
2012953654

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 26, 2022 Edited by ImportBot import existing book
November 13, 2020 Edited by MARC Bot import existing book
June 18, 2020 Created by ImportBot Imported from amazon.com record