Lecture

Statistical Theory: Decision Theory Framework

In course

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Description

This lecture covers the Decision Theory Framework in Statistical Theory, where statistics is viewed as a random game with Nature and a statistician playing. It discusses point estimation, interval estimation, and hypothesis testing within this framework, exploring concepts like admissibility, inadmissibility, minimax rules, Bayes rules, and randomized rules.

Official source

https://mediaspace.epfl.ch/media/0_138pb5ab

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

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