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UID:pretalx-juliacon-2026-XZDBKL@pretalx.com
DTSTART;TZID=CET:20260813T120000
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DESCRIPTION:Structural Equation Models (SEMs) are a powerful statistical fr
 amework for disentangling complex relationships between multiple factors t
 hat affect empirical data. StructuralEquationModels.jl implements SEMs in 
 Julia\, offering greater efficiency and extensibility compared to implemen
 tations in other languages. Improved efficiency enables the application of
  SEM to large networks of variables (such as in genetics) and to fit many 
 models in parallel (such as in neuroimaging). Improved extensibility permi
 ts adapting SEMs to specific use cases by modifying loss functions or inte
 grating with various numerical optimization backends.
DTSTAMP:20260502T104025Z
LOCATION:Room 2
SUMMARY:StructuralEquationModels.jl: An Efficient and Extensible Framework 
 for Structural Equation Modeling - Maximilian Ernst\, Aaron Peiket
URL:https://pretalx.com/juliacon-2026/talk/XZDBKL/
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