Lecture

Inference: Model Checking

In course

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Description

This lecture covers topics such as iterative weighted least squares, generalized linear models, Poisson regression, mixed models, and inference for smooth fits. It also discusses model checking, proportion data, count data, contingency tables, ordinal responses, overdispersion, and spline smoothing.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_edy0b3c5

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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