Date of Award

2017-01-01

Degree Name

Master of Science

Department

Mathematical Sciences

Advisor(s)

Ori Rosen

Abstract

In practice, many multivariate datasets have identical marginal distributions. Elliptical distributions can be used to model many of those datasets. In this Thesis, we will propose a Bayesian method using Markov chain Monte Carlo (MCMC) methods to estimate the density function underlying multivariate datasets assuming it is an elliptical distribution.

Language

en

Provenance

Received from ProQuest

File Size

95 pages

File Format

application/pdf

Rights Holder

Panfeng Liang

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