Graphical models are centred around: - Using graphs to represent our (informal) beliefs about conditional independence between things. - Use those graphs to find probabilistic distributions that actually match those beliefs. - Doing computations with those distributions, exploiting the fact that they are built upon our model/graphs. ### Topics ![[NotesWithDomain.base#NonSnippets]] ### Snippets ![[NotesWithDomain.base#Snippets]]