Lecture

Bayesian Inference: Precision in Gaussian Model

In course

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Description

This lecture covers Bayesian inference for precision in the Gaussian model when the mean is known, using a Gamma prior. It discusses improper priors, subjective vs objective priors, and the difference between frequentist and Bayesian probabilities. The lecture also explores the concept of consistency in Bayesian statistics.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_h3xqhns3

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

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