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USU - Stat Studio: Workshop - Ridge & LASSO

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Category: Methods and Measures

Description: Ridge and LASSO regression are alternative approaches in situations where a large number of predictor variables are available to choose from, and where a high degree of correlation among those predictor variables is possible. These methods guide selection of the most important predictor variables (even from among hundreds) without having to ‘fish’ for significance. The resulting models are parsimonious, with easy to interpret estimates, that also avoid problems with collinearity, biased estimates, and overfitting.

License: CC0 1.0 Universal

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Ridge and LASSO Regression RSVP for all sessions at: Stat Studio on Eventbrite 2017, September 29th 10:00-noon, EDUC 454 by Tyson Barrett 2017, April 14th 1:00-3:00pm, EDUC 454, by Tyson Barrett Ridge and LASSO regression are alternative approaches in situations where a large number of predictor variables are available to choose from, and where a high degree of correlation among those predict...

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