Lecture

Inference and Mixed Models

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_m7bfrj3f

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Data analysis: Regression analysis

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