Crossmark

Bayesian semi-parametric spatial modeling of dispersed count data with INLA: applications in public health and climate risk

Published Online: 2026-01-31

Published Print: 2026-02

Authors

Nadifar, Mahsa

Bekker, Andriette

Arashi, Mohammad

Ramoelo, Abel
Funding

Funding for this research was provided by:

National Research Foundation (NRF) of South Africa (120839)

Iran National Science Foundation (4015320)
License Information

Text and Data Mining valid from 2026-01-31

Version of Record valid from 2026-01-31
More Information

Article History

Received: 3 June 2025

Accepted: 28 December 2025

First Online: 31 January 2026

Declarations

:

: The authors declare no conflict of interest.

Document is current