Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148184 | Journal of Statistical Planning and Inference | 2014 | 18 Pages |
•We develop a full Bayesian analysis for planar landmark data arising from a complex Bingham.•A novel MCMC method to sample the eigenvalues and eigenvectors of the complex-valued Hermitian parameter matrix is designed.•A new conjugate prior for the complex Bingham distribution is developed.
Previous shape analysis of landmark data arising from a complex Bingham distribution involved frequentist statistical estimation, and Bayesian MAP estimation. In this paper, we develop a full Bayesian analysis for planar landmark data arising from a complex Bingham. A novel MCMC method to sample the eigenvalues and eigenvectors of the complex-valued Hermitian parameter matrix is designed. Additionally, a new conjugate prior for the complex Bingham distribution is developed. Illustrative analysis using simulated and actual landmark data demonstrate the methods.