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Full-Text Articles in Physical Sciences and Mathematics
A Topics Analysis Model For Health Insurance Claims, Jared Anthony Webb
A Topics Analysis Model For Health Insurance Claims, Jared Anthony Webb
Theses and Dissertations
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 relevance. We also define a Bayesian hierarchical model for generating data. By understanding how data are generated we may infer hidden structure about these models. We use a specific MCMC method called a Gibbs' sampler to discover topic distributions in a hierarchical Bayesian model called Topics Over Time. We propose an innovative use …
Applications Of Bayesian Statistics In Fluvial Bed Load Transport, Mark L. Schmelter
Applications Of Bayesian Statistics In Fluvial Bed Load Transport, Mark L. Schmelter
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
The science of fluvial sediment transport studies the processes involved in the movement of river sediments. It is commonly understood that when rivers flood they have a great capacity to move sand, gravel, and even larger cobbles and boulders. This process is not only limited to the big floods that usually attract so much attention, but also the more common river flows play a very important role in forming a river. As engineers and scientists, we like to be able to develop equations and relationships that describe some natural phenomenon—in this case, fluvial sediment transport. While we are able to …
A Study Of Poisson And Related Processes With Applications, Phillip Mingola
A Study Of Poisson And Related Processes With Applications, Phillip Mingola
Chancellor’s Honors Program Projects
No abstract provided.