Lecture

Statistical Hypothesis Testing & Error Types

In course

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Description

This lecture covers statistical hypothesis testing, including the Gauss-Markov condition, test statistics, and null hypothesis. It also delves into error types in neural signals processing, such as false positives and false negatives, and their impact on sensitivity and specificity.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_prfhu0vx

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Biology

Neuroscience: Computational neuroscience

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