A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution

@article{mahsa2025,
  title        = {{A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution}},
  author       = {Mahsa Salajegheh et al.},
  journal      = {Metron},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s40300-025-00288-9},
}

TY  - JOUR
TI  - A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution
AU  - al., Mahsa Salajegheh et
JO  - Metron
PY  - 2025
ER  -

Mahsa Salajegheh et al. (2025). A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution. *Metron*. https://doi.org/https://doi.org/10.1007/s40300-025-00288-9

Mahsa Salajegheh et al.. "A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution." *Metron* (2025). https://doi.org/https://doi.org/10.1007/s40300-025-00288-9.

A Bayesian approach for modeling heavy tailed insurance claim data based on the contaminated lognormal distribution
Mahsa Salajegheh et al. · Metron · 2025
https://doi.org/https://doi.org/10.1007/s40300-025-00288-9