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SUMMARY:QSU Research Methods Seminar: Robert Tibshirani\, Ph.D. 4/1
DESCRIPTION:QSU Research Methods Seminar\nTuesday\, April 1\, at 12:00 pm PST\njoin the seminar at 3180 Porter Dr. (combined Room B107 & B136)\n*Lunch will be provided*\nZoom Link: Meeting ID:  996 4643 5133\nPassword: 593858 \nRobert Tibshirani\, Ph.D.\nProfessor of Biomedical Data Science and of Statistics\nStanford University \nUnivariate-guided Sparse Regression\nIn this talk Dr. Tibshirani will introduce “UniLasso”\, a novel statistical method for sparse regression. This two-stage approach preserves the signs of the univariate coefficients and leverages their magnitude. Both of these properties are attractive for stability and interpretation of the model. Through comprehensive simulations and applications to real-world datasets\, we demonstrate that UniLasso outperforms Lasso in various settings\, particularly in terms of sparsity and model interpretability. We prove asymptotic support recovery and mean-squared error consistency under a set of conditions different from the well-known irrepresentability conditions for the Lasso. Extensions to generalized linear models (GLMs) and Cox regression are also discussed. A special case of lasso\, “uniReg” is an interesting competitor to good ol’ least squares regression (Legendre\, 1805).\nThis is joint work with Sourav Chatterjee and Trevor Hastie. \nWe welcome any suggestions or questions about the seminar series – please contact Cyra June Ente cyraente@stanford.edu\nWe look forward to seeing you!
URL:https://dbds.stanford.edu/event/qsu-research-methods-seminar-robert-tibshirani-ph-d-4-1/
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