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Lecture
Inference and Mixed Models
Description
This lecture covers point estimation, confidence intervals, and hypothesis testing for smooth functions. It introduces mixed models for linear regression, discussing predictors, estimates, and BLUPs. The lecture also explains conditional and unconditional analysis, variance, and bias in the context of spline smoothing.
Official source
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