Cutting Edge Regression Techniques

This session offers a brief introduction to recent advances in regression methods. Techniques demonstrated include ridge regression, LASSO, local polynomial regression (LOESS), and additive models. The presentation is practical and example driven, emphasizing which procedures to consider and how to apply them in real situations. A quick introduction to each method followed by two worked examples, with discussion of use cases, and options for SAS procedures and producing graphical output. 

About the Presenter

David Corliss is a statistician and data science leader working in the automotive industry since 1998. With a PhD in statistical astrophysics and a focus on forecasting, his diverse analytic portfolio includes financial and cost forecasting, marketing and customer segmentation, automotive captive finance operational optimization, analytic R&D, statistical analysis of the effectiveness of policy and legislation, expert statistical consulting, and building and mentoring analytic teams.

He is active in community service with analytics, chairing the American Statistical Association's 2022 Conference on Statistical Practice and writing a column on analytics for social good for their monthly magazine. He is the founder of the volunteer group Peace-Work, doing analytics in data for social good and ethical AI.