OpenMx Master Class - 2024-11-16 - Session 2

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The first OpenMx Master Class is aimed to improve the skills of individuals who are already familiar with Structural Equation Modeling (SEM) and want to improve their understanding and capability to specify and fit advanced SEMs. We will also cover the OpenMx philosophy and how it differs from other SEM programs in terms of fit functions, expectation functions, multiple groups, definition variables, constraints, confidence intervals, standard errors, bootstrapping, compute plans, and simulations.

Title: Regularization and Feature Selection:Trees, forests and LASSO’s

Presenter(s): Timothy Brick & Steve Boker / Professor & Associate Professor

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