Epstein Secrets

me series methods, statistical machine learning, digital signal processing and optimization methods; Mathematical language environments: It, S-PLUS; Maple, OOD and parallel processing in C++, Java; RDB and KM design, development, FIX, International equity markets; EXPERIENCE October 2012 — December 2

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 and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filter

ime series methods, statistical machine learning, digital signal processing and optimization methods; Mathematical language environments: R, S-PLUS; Maple, OOD and parallel processing in C++, Java; RDB and KDB design, development, FIX, International equity markets; EXPERIENCE October 2012 — December

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 and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filter

ime series methods, statistical machine learning, digital signal processing and optimization methods; Mathematical language environments: R, S-PLUS; Maple, OOD and parallel processing in C++, Java; RDB and KDB design, development, FIX, International equity markets; EXPERIENCE October 2012 — December

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 and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filter