| 书目名称 | Modeling Dependence in Econometrics |
| 编辑 | Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchi |
| 视频video | |
| 概述 | Recent research in Modeling Dependence in Econometrics.Selected papers of the Seventh International Conference of the Thailand Econometric Society, Faculty of Economics, Chiang Mai University, Thailan |
| 丛书名称 | Advances in Intelligent Systems and Computing |
| 图书封面 |  |
| 描述 | .In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear.functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such inadequate treatment of dependence for the 2008 financial crisis..To make economic models more adequate, we need more accurate techniques for describing dependence. Such techniques are currently being developed. This book contains description of state-of-the-art techniques for modeling dependence and economic applications of.these techniques. Most of these research developments are centered around the notion of a copula - a general way of describing dependence in probability theory and statistics. To be even more adequate, many papers go beyond traditional copula techniques and.take into account, e.g., the dynamical (changing) character of the dep |
| 出版日期 | Conference proceedings 2014 |
| 关键词 | Computational Intelligence; Econometrics; Economics Chiang Mai University; Modeling Dependence in Econo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-03395-2 |
| isbn_softcover | 978-3-319-03394-5 |
| isbn_ebook | 978-3-319-03395-2Series ISSN 2194-5357 Series E-ISSN 2194-5365 |
| issn_series | 2194-5357 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 16:19:16
