Research Paper | Statistics | United States of America | Volume 9 Issue 1, January 2020
Ridge and Lasso Regression for Undergraduate Research with Simulation in R
Di Gao  | Xiyuan Liu | Stephen Scariano
Abstract: A key part of the undergraduate statistics curriculum is modeling and prediction. Indeed, regression analysis is one of the most frequently used statistical methods in the sciences. Most introductory statistics textbooks contain one or more chapters discussing regression methodology. However, with the advent of big data problems, the classical discussion of introductory regression analysis may not fully capture the current state of the art. This article presents an undergraduate perspective for regression analysis with regulation. Our discussion concentrates on the methodology which is then followed by an informative simulation study.
Keywords: Ridge, Lasso, Simulation, R
Edition: Volume 9 Issue 1, January 2020,
Pages: 968 - 970
How to Cite this Article?
Di Gao, Xiyuan Liu, Stephen Scariano, "Ridge and Lasso Regression for Undergraduate Research with Simulation in R", International Journal of Science and Research (IJSR), Volume 9 Issue 1, January 2020, pp. 968-970, https://www.ijsr.net/get_abstract.php?paper_id=ART20203892
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