000 03273nam a22005175i 4500
001 978-3-319-03395-2
003 DE-He213
005 20200421111658.0
007 cr nn 008mamaa
008 131116s2014 gw | s |||| 0|eng d
020 _a9783319033952
_9978-3-319-03395-2
024 7 _a10.1007/978-3-319-03395-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aModeling Dependence in Econometrics
_h[electronic resource] :
_bSelected Papers of the Seventh International Conference of the Thailand Econometric Society, Faculty of Economics, Chiang Mai University, Thailand, January 8-10, 2014 /
_cedited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXX, 575 p. 75 illus., 45 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v251
505 0 _aPart I Keynote Paper -- Part II Fundamental Theory -- Part III Applications.
520 _aIn 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 dependence in economics.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aEconometrics.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aEconometrics.
700 1 _aHuynh, Van-Nam.
_eeditor.
700 1 _aKreinovich, Vladik.
_eeditor.
700 1 _aSriboonchitta, Songsak.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319033945
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v251
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03395-2
912 _aZDB-2-ENG
942 _cEBK
999 _c54857
_d54857