Objective bayesian analysis of the Yule–Simon distribution with applications
Publication
, Journal Article
Leisen, F; Rossini, L; Villa, C
Published in: Computational Statistics
March 1, 2018
The Yule–Simon distribution is usually employed in the analysis of frequency data. As the Bayesian literature, so far, has ignored this distribution, here we show the derivation of two objective priors for the parameter of the Yule–Simon distribution. In particular, we discuss the Jeffreys prior and a loss-based prior, which has recently appeared in the literature. We illustrate the performance of the derived priors through a simulation study and the analysis of real datasets.
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Published In
Computational Statistics
DOI
EISSN
1613-9658
ISSN
0943-4062
Publication Date
March 1, 2018
Volume
33
Issue
1
Start / End Page
99 / 126
Related Subject Headings
- Statistics & Probability
- 49 Mathematical sciences
- 46 Information and computing sciences
- 08 Information and Computing Sciences
- 01 Mathematical Sciences
Citation
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Leisen, F., Rossini, L., & Villa, C. (2018). Objective bayesian analysis of the Yule–Simon distribution with applications. Computational Statistics, 33(1), 99–126. https://doi.org/10.1007/s00180-017-0735-1
Leisen, F., L. Rossini, and C. Villa. “Objective bayesian analysis of the Yule–Simon distribution with applications.” Computational Statistics 33, no. 1 (March 1, 2018): 99–126. https://doi.org/10.1007/s00180-017-0735-1.
Leisen F, Rossini L, Villa C. Objective bayesian analysis of the Yule–Simon distribution with applications. Computational Statistics. 2018 Mar 1;33(1):99–126.
Leisen, F., et al. “Objective bayesian analysis of the Yule–Simon distribution with applications.” Computational Statistics, vol. 33, no. 1, Mar. 2018, pp. 99–126. Scopus, doi:10.1007/s00180-017-0735-1.
Leisen F, Rossini L, Villa C. Objective bayesian analysis of the Yule–Simon distribution with applications. Computational Statistics. 2018 Mar 1;33(1):99–126.
Published In
Computational Statistics
DOI
EISSN
1613-9658
ISSN
0943-4062
Publication Date
March 1, 2018
Volume
33
Issue
1
Start / End Page
99 / 126
Related Subject Headings
- Statistics & Probability
- 49 Mathematical sciences
- 46 Information and computing sciences
- 08 Information and Computing Sciences
- 01 Mathematical Sciences