TULSA, OK, USA [August 1, 2013] StatSoft, Inc., announces that its vice president's most recent white paper has been accepted for presentation at Europe's premier credit scoring conference.
Dr. Thomas Hill, StatSoft's VP of Analytic Solutions, will present the paper, "General Approximators for Credit Scoring: Practical Considerations," during the Credit Scoring and Credit Control XIII Conference in late August. Hosted by University of Edinburgh Business School's Credit Research Centre, this biennial event is recognized as the world's leading conference on credit scoring and related topics, regularly attracting an international audience of academics and practitioners from dozens of countries.
Hill co-authored the paper with Dr. Vladimir Rastunkov and Knut Opdal.
The presentation will review and contrast data mining and advanced predictive modeling techniques with traditional statistical methods for modeling risk, such as credit default risk, fraud probability, etc.
In addition, Hill will propose a new technique to derive useful reason scores from data mining models, as required for credit scoring applications. This can be accomplished by computing numeric partial derivatives for the risk function with respect to the important predictors in the model. This method will yield information equivalent to that provided through statistical models such as logistic regression. Practical implementations and caveats of this new approach will also be discussed.
About StatSoft, Inc.
StatSoft was founded in 1984 and is now one of the world’s largest providers of analytics software, with 30 offices around the globe and more than one million users of its STATISTICA software. StatSoft’s solutions enjoy an extremely high level of user satisfaction across industries, as demonstrated in the unprecedented record of top ratings in practically all published reviews and large, independent surveys of analytics users worldwide. With its comprehensive suite of STATISTICA solutions for a wide variety of industries, StatSoft is a trusted partner of the world’s largest organizations and businesses (including most of the Fortune 500 companies), providing mission-critical applications that help them increase productivity, control risk, reduce waste, streamline operations, achieve regulatory compliance, and protect the environment.
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