Rudolf the red nosed Bayesian network?

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As a follow-up to my previous Christmas blog post, Twas the night before big data,  I give you ...

Bayesian network, the directed acyclic graphical (DAG) model

( yeah, yeah, I know it doesn’t quite have the same ring as last year’s title, but you'll recognize the tune)

Rudolf_Bayesian

You know Linear and Logistic Regression and Decision Tree and Neural Network,
You know TwoStage and MBR and SVM and Partial Least Squares,
But do you recall?
The most famous predictive model of all?

Bayesian networks
Has a directed acyclic graphic model with nodes representing random variables
And if you ever saw it
You would even say the links between nodes represent conditional dependency of the random variables

All of the other models used to laugh and call him names
They never let poor Bayesian networks
Join in solving any decision games

Then one foggy Christmas Eve,
The data scientist came to a say,
Bayesian networks with your different types of Bayesian network structures
Won’t you solve this problem with random variables under uncertainty?

Then all the models loved him,
As they shouted out with glee,
Bayesian networks
You’ll go down in history!

All kidding aside, follow these links to learn more about Bayesian analysis in SAS or SAS High Performance Bayesian networks, which is part of SAS High Performance Data Mining.

Happy New Year!

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About Author

David Pope

Technical Leader, Senior Manager US Energy

David leads the pre-sales technical team for SAS US Energy which solves business problems in the Oil & Gas and Utilities industries using advanced analytics. He earned a BS in Industry Engineering and a Computer Programming Certificate from North Carolina State University. Furthermore, he has over 27 years of business experience working with SAS across R&D, IT, Sales and Marketing in the Americas and Europe. He is an expert in working with data and producing insights through the use of analytics. David has presented at SAS Global Forum, the 2012 SAS Government Leadership Summit, IBM’s Information on Demand(IOD), EMC World, CTO Summit Conferences, is the author of the book: "Big Data Analytics with SAS", and he currently holds 11 patents for SAS in several countries: US, CA, Norway, UK, China, and Hong Kong.

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