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as found independently by myself in approximately 18 months. 1989-1994 Bashkir State UniversiO, Russia B.5 and M.S. in Mathematics, specializing in Complex and Functional Analysis. Grades equivalent to US GPA 4.0 QUANTITATIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA a
el Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA. Panel data modeling Fixed and Variable effects models • MARS, Boosting methods, Regression trees, Cluster analysis: Markovian (MCL), spectral and
s found independently by myself in approximately 18 months. 1989-1994 Bashkir State University, Russia B.S and MS. in Mathematics, specializing in Complex and Functional Analysis. Grades equivalent to US GPA 4.0 QUANTITATIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA a
el Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA. Panel data modeling: Fixed and Variable effects models • MARS, Boosting methods, Regression trees, Cluster analysis: Markovian (MCL), spectral and
found independently by myself in approximately 18 months. 1989-1994 Bashkir State University, Russia B.S and M.S. in Mathematics, specializing in Complex and Functional Analysis. Grades equivalent to US GPA 4.0 QUANTITATIVE AND ECONOMETRIC METHODS • Multivariate statistics, Principal Component Analysis (PCA), Kernel PCA a
el Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH and Granger causality, GARCH models, ARIMA. Panel data modeling Fixed and Variable effects models • MARS, Boosting methods, Regression trees, Cluster analysis: Markovian (MCL), spectral and
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