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Likelihood-based inference in \(S\)-distributions. (English) Zbl 1311.62037

Summary: We propose new estimation techniques in connection with the system of S-distributions. Besides “exact” maximum likelihood (ML), we propose simulated ML and a characteristic function-based procedure. The “exact” and simulated likelihoods can be used to provide numerical, MCMC-based Bayesian inferences.

MSC:

62F15 Bayesian inference
62E17 Approximations to statistical distributions (nonasymptotic)
Full Text: DOI

References:

[1] DOI: 10.1016/0304-4076(94)90063-9 · Zbl 0807.62065 · doi:10.1016/0304-4076(94)90063-9
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