Uncertainty Analysis in Econometrics With Applications: 200 (Advances in Intelligent Systems and Computing, 200) [Paperback] [Dec 14, 2012] Huynh, Van-Nam; Kreinovich, Vladik; Sriboonchitta, Songsak and Suriya, Komsan

ISBN 10: 3642354424 / ISBN 13: 9783642354427

Published by Springer, 2012

About this Item

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Bibliographic Details

• Title: Uncertainty Analysis in Econometrics With Applications: 200 (Advances in Intelligent Systems and Computing, 200) [Paperback] [Dec 14, 2012] Huynh, Van-Nam; Kreinovich, Vladik; Sriboonchitta, Songsak and Suriya, Komsan
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 3642354424
• ISBN 13: 9783642354427
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.