A Topics Analysis Model for Health Insurance Claims

A Topics Analysis Model for Health Insurance Claims

Mathematical probability has a rich theory and powerful applications. Of particular note is the Markov chain Monte Carlo (MCMC) method for sampling from high dimensional distributions that may not admit a naive analysis. We develop the theory of the MCMC method from first principles and prove its re...

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Bibliographic Details
Main Author: Webb, Jared Anthony
Format: Others
Published: BYU ScholarsArchive 2013
Subjects:
Probability
Bayesian Data Analysis
Machine Learning
Markov Chains
Markov Chain Monte Carlo
Bayesian Network
Latent Dirichlet Allocation
Topics Over Time
Mathematics
Online Access:https://scholarsarchive.byu.edu/etd/3805
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4804&context=etd

Internet

https://scholarsarchive.byu.edu/etd/3805
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4804&context=etd

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