Robust Bayesian Methods for Semi-parametric Models
Type of DegreePhD Dissertation
Mathematics and Statistics
Restriction TypeAuburn University Users
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Nonparametric rank-based approaches in many situations provide more flexible modeling speci cations and robustness when the distribution of data diff ers from the assumed distribution. This dissertation is mainly concerned with two robust Bayesian methods using the ideas of rank-based approaches and least absolute deviations estimate.