DOAJ Open Access 2021

Discrete Versions of Jensen–Fisher, Fisher and Bayes–Fisher Information Measures of Finite Mixture Distributions

Omid Kharazmi Narayanaswamy Balakrishnan

Abstrak

In this work, we first consider the discrete version of Fisher information measure and then propose Jensen–Fisher information, to develop some associated results. Next, we consider Fisher information and Bayes–Fisher information measures for mixing parameter vector of a finite mixture probability mass function and establish some results. We provide some connections between these measures with some known informational measures such as chi-square divergence, Shannon entropy, Kullback–Leibler, Jeffreys and Jensen–Shannon divergences.

Penulis (2)

O

Omid Kharazmi

N

Narayanaswamy Balakrishnan

Format Sitasi

Kharazmi, O., Balakrishnan, N. (2021). Discrete Versions of Jensen–Fisher, Fisher and Bayes–Fisher Information Measures of Finite Mixture Distributions. https://doi.org/10.3390/e23030363

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Informasi Jurnal
Tahun Terbit
2021
Sumber Database
DOAJ
DOI
10.3390/e23030363
Akses
Open Access ✓