Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6341266 | Atmospheric Environment | 2013 | 10 Pages |
Abstract
Compared to the finite mixture of normals, DPM of normals has advantages by characterizing uncertainty around the number of components, and by providing a formal assessment of uncertainty for all model parameters through the posterior distribution. The method adapts to a spectrum of departures from standard model assumptions and provides robust estimates of the exposure density even under censoring due to MDL.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Shi Li, Stuart Batterman, Feng-Chiao Su, Bhramar Mukherjee,