LEADER 03612nam 22007215 450 001 9910437895503321 005 20251230065340.0 010 $a9781283935500 010 $a1283935503 010 $a9783642354434 010 $a3642354432 024 7 $a10.1007/978-3-642-35443-4 035 $a(CKB)2670000000317410 035 $a(EBL)1082897 035 $a(OCoLC)823388579 035 $a(SSID)ssj0000879879 035 $a(PQKBManifestationID)11559189 035 $a(PQKBTitleCode)TC0000879879 035 $a(PQKBWorkID)10872974 035 $a(PQKB)10010131 035 $a(DE-He213)978-3-642-35443-4 035 $a(MiAaPQ)EBC1082897 035 $a(PPN)168328674 035 $a(EXLCZ)992670000000317410 100 $a20121214d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty Analysis in Econometrics with Applications /$fedited by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta, Komsan Suriya 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (322 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 300 $aDescription based upon print version of record. 311 08$a9783642354427 311 08$a3642354424 320 $aIncludes bibliographical references and index. 327 $aPart I Keynote Addresses -- Part II Fundamental Theory -- Part III Applications. 330 $aUnlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aEconometrics 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aEconometrics 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aEconometrics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aEconometrics. 676 $a519.5 701 $aHuynh$b Van-Nam$01434764 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437895503321 996 $aUncertainty analysis in econometrics with applications$94197698 997 $aUNINA