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I aggree that statistics is important, but graphs are of some use in statistics: https://en.m.wikipedia.org/wiki/Graphical_model https://en.m.wikipedia.org/wik
by jonsen 5y ago
I aggree that statistics is important, but graphs are of some use in statistics:
https://en.m.wikipedia.org/wiki/Graphical_model https://en.m.wikipedia.org/wiki/Graphical_model
Can’t find the link now, but I’ve seen a pedagogical framework for learning basic probability by manipulating dynamic graph-“walking”. Absolutely useable with kids.
- goldenkey 5y agoYou are probably referring to https://en.wikipedia.org/wiki/Dynamic_Bayesian_network https://en.wikipedia.org/wiki/Dynamic_Bayesian_network
- jonsen 5y agoFound it: https://mathenchant.wordpress.com/2017/08/16/prof-engels-marvelously-improbable-machines/ https://mathenchant.wordpress.com/2017/08/16/prof-engels-mar...
- goldenkey 5y agoWowzers: https://youtu.be/Ap5NslpYikU https://youtu.be/Ap5NslpYikU Very interesting stuff..Engel's probability abacus.
- adrianN 5y agoYeah graphs are often useful for modelling, but typically you need very little basic graph theory to use them for that purpose. Diestel [1] for example spends dozens of extremely dense pages just to introduce the basic terminology. To cover the contents just of the first six chapters (which I consider to be the basics for algorithmic applications of graphs) you'd probably fill most of the highschool math curriculum, even if you skip almost all proofs. [1] http://diestel-graph-theory.com/basic.html http://diestel-graph-theory.com/basic.html?