Epstein File EFTA01116865: Kay Granger, Granger and Server (DS9)

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Epstein File EFTA01116865: Kay Granger, Granger and Server (DS9)

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This document appears to be an academic or technical curriculum outline listing statistical and econometric methods including Kalman filters, Hidden Markov Models, kernel methods, support vector machines, cointegration models, vector auto regression, and ARCH models, with a reference to Granger causality analysis.

👤 Named in This Document

Kay Granger

🔑 Evidence Keywords

server architect

📋 Key Excerpts3

PersonKeyword

Excerpt 1

Kalman filters, Hidden Markov Model Kernel Methods, Support Vector Machines Cointegration and Error Correction models, Vector Auto Regression, ARCH and **Granger**

Excerpt 2

Extensive use of R with a number of cutting edge statistical packages and efficient C++ coding, parallel computation on large Linux **server** farms. 2004

Excerpt 3

marketplace algorithmic trade analysis for the market phases, trade conditions and optimal order types. 2000-2004 BNY Securities, NYC Trading Systems **Architect**