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.

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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

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article

An Analytic Expression for a Bayesian D‐Optimality Criterion for the Poisson Model

Peter Goos, Karel Van Brantegem
Quality and Reliability Engineering International
Optimal Experimental Design Methods
article

An Analytic Expression for a Bayesian D‐Optimality Criterion for the Poisson Model

Peter Goos, Karel Van Brantegem
article en

Abstract

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.

Quality and Reliability Engineering InternationalVol. 42(3)
Statistics Belgium (BE), KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Openalex Percentile: Top 58%
Optimal Experimental Design Methods
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