Lecture

Statistical Significance: Maximum Likelihood Estimation and Confidence Intervals

Description

This lecture covers the concepts of type I and type II errors, critical values, maximum likelihood estimation, observed information, and confidence intervals. The instructor explains how to define sufficiently high or negative values, regular models, and the significance of statistical frameworks. Examples and solutions are provided to illustrate the application of these concepts.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_zy3maxim

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Algebra: Linear algebra

Probability theory: Topics in probability theory

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