B1735
Title: Normal Pareto distributions: Theoretical framework and computational issues
Authors: Tomasz Kozubowski - University of Nevada Reno (United States) [presenting]
Matthew Ohemeng - University of Nevada (United States)
Abstract: A new, conditionally Gaussian, hierarchical stochastic model for heavy-tailed data is introduced which generalizes the Laplace probability distribution. We present some basic properties of this model and discuss related computational issues. We also briefly consider inferential aspects of the model.
