Lecture

Bias, Variance, Consistency, EMV

Description

This lecture covers the concepts of bias, variance, mean squared error, consistency, maximum likelihood estimator, and their application in the context of the Poisson model. It explains how to calculate bias and variance for estimators and the principle of maximum likelihood estimation.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_oncagey6

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

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