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You searched for +publisher:"University of Missouri – Columbia" +contributor:("Micheas, Athanasios Christos"). One record found.

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University of Missouri – Columbia

1. DeWees, Todd A., 1979-. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.

Degree: 2009, University of Missouri – Columbia

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We study a hierarchical Bayesian framework for finite mixtures of distributions. We first consider a Dirichlet mixture of normal components and utilize it to model spatial fields that arise as pixelated images of intensities. We demonstrate our models using results from simulated data as well as using "real-world" weather radar reflectivity fields. We propose model adequacy and verification tests to further illustrate the effectiveness of the model. We then consider and define spatio-temporal processes using a hierarchical Bayesian mixture model to help us predict the evolution of these processes based on several radar reflectivity fields observed over a short-term time period. We illustrate the methodology with simulated data and apply verification methods to demonstrate the ability of the methods to model such data. We implement these models in nowcasting the evolution of storm systems observed around the area of Kansas City, Missouri, on June 7, 2007. Advisors/Committee Members: Micheas, Athanasios Christos (advisor).

Subjects/Keywords: Bayesian statistical decision theory; Dirichlet principle; Radar meteorology; Reflectance; Nowcasting (Meteorology)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

DeWees, Todd A., 1. (2009). A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/9888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

DeWees, Todd A., 1979-. “A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.” 2009. Thesis, University of Missouri – Columbia. Accessed April 23, 2021. https://doi.org/10.32469/10355/9888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

DeWees, Todd A., 1979-. “A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.” 2009. Web. 23 Apr 2021.

Vancouver:

DeWees, Todd A. 1. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2021 Apr 23]. Available from: https://doi.org/10.32469/10355/9888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

DeWees, Todd A. 1. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/9888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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