Lecture

Likelihood Inference

In course

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Description

This lecture covers topics such as iterative weighted least squares, model checking, Poisson regression, contingency tables, mixed models, and additive models. It explains the concept of likelihood, maximum likelihood estimation, and the likelihood ratio statistic.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_kge2f1ch

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Data analysis: Regression analysis

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