File(s) under permanent embargo
Reason: Under embargo until May 2019. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library or by emailing email@example.com
Robust Bayesian Analysis
thesisposted on 14.05.2018, 02:29 by ZHICHAO LIU
This thesis develops two robust Bayesian inferential methods to handle model misspecification due to the presence of outliers in the data. These new methods are designed to produce robust Bayesian inference based on simple parametric models which may be misspecified. Utilizing robust information from the data, these Bayesian methods are able to produce posterior inference about the fundamental relationship between variables that is robust with respect to outliers.