Extending the Information Partition Function: Modeling Interaction Effects in Highly Multivariate, Discrete Data

Extending the Information Partition Function: Modeling Interaction Effects in Highly Multivariate, Discrete Data

Because of the huge amounts of data made available by the technology boom in the late twentieth century, new methods are required to turn data into usable information. Much of this data is categorical in nature, which makes estimation difficult in highly multivariate settings. In this thesis we revi...

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Bibliographic Details
Main Author: Cannon, Paul C.
Format: Others
Published: BYU ScholarsArchive 2007
Subjects:
Information Partition Function
interaction effects
multivariate analysis
discrete data
Natural Language Processing
Statistics and Probability
Online Access:https://scholarsarchive.byu.edu/etd/1234
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2233&context=etd

Internet

https://scholarsarchive.byu.edu/etd/1234
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2233&context=etd

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