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nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
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
nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Igarkov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
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
nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
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
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