An Analytic Expression for a Bayesian D‐Optimality Criterion for the Poisson Model
ABSTRACT We derive the analytic expression for two common Bayesian D‐optimality criteria under the Poisson regression model in the context of optimal design of experiments with a count response. This analytic approach is in contrast with most published research on optimal design of experiments for nonlinear regression models, in which Bayesian D‐optimality criteria are approximated numerically.
Authors
- Peter Goos (ORCID: https://orcid.org/0000-0002-3854-6506)
- Karel Van Brantegem
Institutions
- Statistics Belgium (BE)
- KU Leuven (BE)
Publication Details
- Journal
- Quality and Reliability Engineering International
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1002/qre.70117
- Primary Topic
- Optimal Experimental Design Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering