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Hauptverfasser: Yu, Zhou, Mousavi, Niloufar Dousti, Yang, Jie
Format: Preprint
Veröffentlicht: 2023
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Online-Zugang:https://arxiv.org/abs/2306.04798
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author Yu, Zhou
Mousavi, Niloufar Dousti
Yang, Jie
author_facet Yu, Zhou
Mousavi, Niloufar Dousti
Yang, Jie
contents Negative binomial related distributions have been widely used in practice. The calculation of the corresponding Fisher information matrices involves the expectation of trigamma function values which can only be calculated numerically and approximately. In this paper, we propose a trigamma-free approach to approximate the expectations involving the trigamma function, along with theoretical upper bounds for approximation errors. We show by numerical studies that our approach is highly efficient and much more accurate than previous methods. We also apply our approach to compute the Fisher information matrices of zero-inflated negative binomial (ZINB) and beta negative binomial (ZIBNB) probabilistic models, as well as ZIBNB regression models.
format Preprint
id arxiv_https___arxiv_org_abs_2306_04798
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Trigamma-free Approach for Computing Information Matrices Related to Trigamma Function
Yu, Zhou
Mousavi, Niloufar Dousti
Yang, Jie
Computation
Negative binomial related distributions have been widely used in practice. The calculation of the corresponding Fisher information matrices involves the expectation of trigamma function values which can only be calculated numerically and approximately. In this paper, we propose a trigamma-free approach to approximate the expectations involving the trigamma function, along with theoretical upper bounds for approximation errors. We show by numerical studies that our approach is highly efficient and much more accurate than previous methods. We also apply our approach to compute the Fisher information matrices of zero-inflated negative binomial (ZINB) and beta negative binomial (ZIBNB) probabilistic models, as well as ZIBNB regression models.
title A Trigamma-free Approach for Computing Information Matrices Related to Trigamma Function
topic Computation
url https://arxiv.org/abs/2306.04798