Abstract
In this paper, we establish efficient recursive algorithms for the computation of the cumulative distribution function (cdf) of multivariate Student’s t and multivariate unified skew-t distributions. The recurrence relations are over \(\nu \) (the degrees of freedom), and starting from the explicit results for \(\nu \)=1 and \(\nu \)=2, they enable the recursive evaluation of the cdf for any positive integral value of \(\nu \). Using these, we obtain results for the computation of orthant probabilities of multivariate Student’s t distribution. We then demonstrate the usefulness of the established results in some problems involving order statistics and reliability systems. Finally, we use two real data sets to illustrate the methods established here.
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The authors express their sincere thanks to the Editor and the anonymous reviewers for all their useful comments and suggestions on an earlier version of this manuscript which led to this improved version.
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Amiri, M., Mehrali, Y., Balakrishnan, N. et al. Efficient recursive computational algorithms for multivariate t and multivariate unified skew-t distributions with applications to inference. Comput Stat 37, 125–158 (2022). https://doi.org/10.1007/s00180-021-01119-x
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DOI: https://doi.org/10.1007/s00180-021-01119-x