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Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R

Citations

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Cited by:

  1. Luke S. Benz & Michael J. Lopez, 2023. "Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 205-232, March.
  2. F. Novoa-Muñoz & M. Jiménez-Gamero, 2014. "Testing for the bivariate Poisson distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(6), pages 771-793, August.
  3. Bermúdez i Morata, Lluís, 2009. "A priori ratemaking using bivariate Poisson regression models," Insurance: Mathematics and Economics, Elsevier, vol. 44(1), pages 135-141, February.
  4. J. James Reade & Carl Singleton & Alasdair Brown, 2021. "Evaluating strange forecasts: The curious case of football match scorelines," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
  5. G. K. Skinner & G. H. Freeman, 2009. "Soccer matches as experiments: how often does the 'best' team win?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(10), pages 1087-1095.
  6. Lluis Bermúdez i Morata, 2008. "A priori ratemaking using bivariate poisson regression models," Working Papers XREAP2008-09, Xarxa de Referència en Economia Aplicada (XREAP), revised Jul 2008.
  7. Tsagris, Michail & Elmatzoglou, Ioannis & C. Frangos, Christos, 2012. "Assessment of Performance of Correlation Estimates in Discrete Bivariate Distributions using Bootstrap Methodology," MPRA Paper 68057, University Library of Munich, Germany.
  8. Rómulo A. Chumacero, 2009. "Altitude or Hot Air?," Journal of Sports Economics, , vol. 10(6), pages 619-638, December.
  9. J Reade & C Singleton & L Vaughan Williams, 2020. "Betting Markets for English Premier League Results and Scorelines: Evaluating a Simple Forecasting Model," Economic Issues Journal Articles, Economic Issues, vol. 25(1), pages 87-106, March.
  10. Yang, Miao & Das, Kalyan & Majumdar, Anandamayee, 2016. "Analysis of bivariate zero inflated count data with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 148(C), pages 73-82.
  11. Tahir Ekin & Stephen Walker & Paul Damien, 2023. "Augmented simulation methods for discrete stochastic optimization with recourse," Annals of Operations Research, Springer, vol. 320(2), pages 771-793, January.
  12. M Ataharul Islam & Rafiqul I Chowdhury, 2017. "A generalized right truncated bivariate Poisson regression model with applications to health data," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-13, June.
  13. Hofer, Vera & Leitner, Johannes, 2017. "Relative pricing of binary options in live soccer betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 66-85.
  14. Linda M. Haines, 2016. "Maximum likelihood estimation for N‐mixture models," Biometrics, The International Biometric Society, vol. 72(4), pages 1235-1245, December.
  15. Vijay Viswanathan & Sebastian Tillmanns & Manfred Krafft & Daniel Asselmann, 2018. "Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and opinion leadership," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1108-1132, November.
  16. Su Pei-Fang & Mau Yu-Lin & Guo Yan & Li Chung-I & Liu Qi & Boice John D. & Shyr Yu, 2017. "Bivariate Poisson models with varying offsets: an application to the paired mitochondrial DNA dataset," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 47-58, March.
  17. Dieter Verhaest & Eddy Omey, 2010. "The Measurement and Determinants of Skill Acquisition in Young Workers’ First Job," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 31(1), pages 116-149, February.
  18. Alexandra Daub & Andreas Mayr & Boyao Zhang & Elisabeth Bergherr, 2025. "A balanced statistical boosting approach for GAMLSS via new step lengths," Computational Statistics, Springer, vol. 40(8), pages 4741-4773, November.
  19. Lillestøl, Jostein, 2020. "Sampling risk evaluations in a tax fraud case: Some modelling issues," Discussion Papers 2020/5, Norwegian School of Economics, Department of Business and Management Science.
  20. Purhadi & Sutikno & Sarni Maniar Berliana & Dewi Indra Setiawan, 2021. "Geographically weighted bivariate generalized Poisson regression: application to infant and maternal mortality data," Letters in Spatial and Resource Sciences, Springer, vol. 14(1), pages 79-99, April.
  21. Bermúdez, Lluís & Karlis, Dimitris, 2011. "Bayesian multivariate Poisson models for insurance ratemaking," Insurance: Mathematics and Economics, Elsevier, vol. 48(2), pages 226-236, March.
  22. Pierre, Jean-Sébastien, 2023. "Ecological forecasting models: Accuracy versus decisional quality," Ecological Modelling, Elsevier, vol. 482(C).
  23. Geldenhuys, Claire & Ehlers, Rene & Bekker, Andriette, 2026. "Type I multivariate Pólya-Aeppli distributions with applications," Journal of Multivariate Analysis, Elsevier, vol. 212(C).
  24. Simos G. Meintanis & Joseph Ngatchou-Wandji & Leonard Santana & Marius Smuts, 2025. "Goodness-of-fit tests for discrete response models with covariates," Statistical Papers, Springer, vol. 66(3), pages 1-36, April.
  25. Sobom M. Somé & Célestin C. Kokonendji & Nawel Belaid & Smail Adjabi & Rahma Abid, 2023. "Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 843-865, September.
  26. Derek S. Young & Andrew M. Raim & Nancy R. Johnson, 2017. "Zero-inflated modelling for characterizing coverage errors of extracts from the US Census Bureau's Master Address File," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 73-97, January.
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