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.

Objective bayesian analysis of the Yule–Simon distribution with applications / F. Leisen, L. Rossini, C. Villa. - In: COMPUTATIONAL STATISTICS. - ISSN 0943-4062. - 33:1(2018), pp. 99-126. [10.1007/s00180-017-0735-1]

Objective bayesian analysis of the Yule–Simon distribution with applications

L. Rossini;C. Villa
2018

Abstract

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.
Kullback–Leibler divergence; Loss-based prior; Objective bayes; Social network daily returns; Text analysis
Settore SECS-S/01 - Statistica
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/794776
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