Arthur Kordon
Advanced Analytics Leader, Dow Chemical Company
Arthur Kordon is Advanced Analytics Leader at the Dow Chemical Company, where he delivers solutions based on advanced analytics to Dow businesses, improves existing methods, consults, and teaches different levels of advanced analytics classes. Well versed in JMP, SAS Enterprise Guide, SAS Forecast Server, and SAS Enterprise Miner, he is the author of Applying Computational Intelligence: How to Create Value (2009), as well as ten book chapters and more than seventy journal and conference papers. Kordon received an MSc in electrical engineering from the Technical University of Varna, in Varna, Bulgaria, and a PhD in the same field, specializing in adaptive control systems, from the Technical University of Sofia, in Sofia, Bulgaria. He is frequent presenter at computational intelligence conferences around the world.
By This Author
Applied Data Mining for Forecasting Using SAS®
By Tim Rey, Arthur Kordon, and Chip Wells
Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large and identifies the correlation structure between selected candidate inputs and the forecast variable.
Featured Authors
-
Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
-
Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
-
Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
-
Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.