Activity Number:
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215966
- Generalized Additive Modeling Using SAS® (ADDED FEE)
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Type:
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Professional Development
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Date/Time:
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Wednesday, August 1, 2018 : 1:00 PM to 2:45 PM
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Sponsor:
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ASA
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Abstract #333116
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Title:
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Generalized Additive Modeling Using SAS® (ADDED FEE)
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Author(s):
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Weijie Cai*
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Companies:
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SAS
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Keywords:
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Abstract:
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Generalized additive models (GAMs) are widely used by statisticians and data scientists when knowledge of the underlying model is limited. For example, GAMs are used in the insurance industry to incorporate geographic location in models for ratemaking. Generalized additive models can be viewed as semiparametric extensions to generalized linear models that relax the assumption of linear effects. You can use GAMs to discover nonlinear dependency structures in your data, which might enable you to develop parsimonious parametric models in addition. This workshop demonstrates the use of SAS/STAT® procedures for fitting GAMs, and it reviews the statistical concepts. Basic familiarity with generalized linear models is assumed.
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Authors who are presenting talks have a * after their name.
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