Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models
Author:
Affiliation:
1. Department of Statistical Science, Duke University
2. College of Health, Lehigh University
3. Department of Statistics, The Pennsylvania State University
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2394460
Reference42 articles.
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2. Benson A. and N. Friel (2021). Bayesian inference model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution. Bayesian Analysis 16 905–931.
3. Besag J. J. York and A. Mollié (1991). Bayesian image restoration with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics 43(1) 1–20.
4. Chanialidis C. L. Evers T. Neocleous and A. Nobile (2018). Efficient Bayesian inference for COM-Poisson regression models. Statistics and Computing 28 595–608.
5. Conway R. W. and W. L. Maxwell (1962). Network dispatching by the shortest-operation discipline. Operations Research 10 51–73.
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