Contaminated Gibbs-Type Priors
Author:
Affiliation:
1. Department of Economics, Management and Statistics, University of Milano-Bicocca, Milan, Italy
2. School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom
Publisher
Institute of Mathematical Statistics
Subject
Applied Mathematics,Statistics and Probability
Reference58 articles.
1. Arbel, J., Corradin, R., and Nipoti, B. (2021). “Dirichlet process mixtures under affine transformations of the data.” Computational Statistics, 36: 577–601.
2. Baayen, H. R. (2001). Word Frequency Distributions. Springer Netherlands.
3. Beraha, M., Guglielmi, A., and Quintana, F. A. (2021). “The Semi-Hierarchical Dirichlet Process and Its Application to Clustering Homogeneous Distributions.” Bayesian Anal., 1–33.
4. Berger, J. O. and Berliner, L. M. (1986). “Robust Bayes and Empirical Bayes Analysis with ϵ-Contaminated Priors.” Annals of Statistics, 14: 461–486.
5. Bethlehem, J. G., Keller, W. J., and Pannekoek, J. (1990a). “Disclosure Control of Microdata.” Journal of the American Statistical Association, 85(409): 38–45.
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