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.
Topik & Kata Kunci
Penulis (2)
O
Omid Kharazmi
N
Narayanaswamy Balakrishnan
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Sumber Database
- DOAJ
- DOI
- 10.3390/e23030363
- Akses
- Open Access ✓