Bayesian Parameter Estimation

In course

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Description

This lecture covers an example of Bayesian parameter estimation using normal distributions, data samples, and the concept of parameter to be estimated. It also discusses the trade-off between bias and variance in supervised learning.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_dbknuy01

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

Data collection: Statistical sampling

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