Graphs and Probabilities

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Description

This lecture covers the relationship between graphs and probabilities, focusing on modular and super modular probabilities, correlation properties, and the use of FKG inequality. It also discusses the adjacency matrix of graphs, the 'pseudorandomness condition', and PSD matrices.

Official source

Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Related lectures (27)

https://mediaspace.epfl.ch/media/0_h8qwzz4o

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In course

DEMO: pariatur in ad

Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Related lectures (27)

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Graphical Models: Probability Distributions and Factor Graphs

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Graphs: Properties and Representations

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