Spin Glasses and Bayesian Estimation

In course

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Description

This lecture covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely. The instructor discusses the theory behind spin glasses, Bayesian estimation, and the application of these concepts in closely observing and inferring information from a given system.

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Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Data analysis: Regression analysis

Mathematics

Analysis: Measure theory

Information engineering

Machine learning: Unsupervised learning

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