Lecture

The Likelihood of Data under a Model

In course

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Description

This lecture delves into the statistical view of generative models, exploring the likelihood of data under a model, illustrated through examples like the Gaussian distribution. It explains the concept of maximum likelihood, emphasizing the importance of choosing model parameters that maximize the log-likelihood, and concludes with a summary of the maximum likelihood method.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_q1l1g6lp

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

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