Retrospective sampling in MCMC with an application to COM-Poisson regression

Author:

Chanialidis Charalampos1,Evers Ludger1,Neocleous Tereza1,Nobile Agostino2

Affiliation:

1. School of Mathematics and Statistics; University of Glasgow; Glasgow G12 8QW UK

2. Department of Mathematics; University of York; York YO10 5DD UK

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference20 articles.

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2. Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion);Beskos;Journal of the Royal Statistical Society: Series B (Statistical Methodology),2006

3. Bivand , R 2014 spdep: spatial dependence: weighting schemes, statistics and models, r package version 0.5-71

4. Bivand , R Lewin-Koh , N 2013 maptools: tools for reading and handling spatial objects, r package version 0.8-27

5. A queuing model with state dependent service rate;Conway;Journal of Industrial Engineering,1962

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1. The Conway–Maxwell–Poisson Distribution;INST MATH STAT MG;2023-02-28

2. Conway–Maxwell–Poisson regression models for dispersed count data;WIREs Computational Statistics;2020-09-13

3. Efficient Bayesian inference for COM-Poisson regression models;Statistics and Computing;2017-04-24

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