Lecture

Statistical Estimation

In course

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Description

This lecture covers the problem of estimation in a general framework, focusing on point estimation using estimators to determine the true value of a parameter. It discusses criteria for comparing estimators, such as mean and variance, and introduces the concept of mean squared error. The lecture also delves into the Cramér-Rao bound and consistency of estimators, highlighting the challenges in achieving optimal estimators. Various mathematical expressions and theorems related to estimation and error analysis are presented, providing a comprehensive overview of statistical estimation.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_mmmlzct6

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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