Regression models for count data

Research Project
|
01.04.2007
- 31.12.2025

Regression models for count data are attracting increasing attention in many fields of application, among them health economics, ecological modeling and political science. It has emerged that the classical regression models (Poisson and Negative Binomial) are often not flexible enough in empirical work, hence various generalizations and modifications have been proposed. However, many aspects of these new models are still not well understood. The project investigates properties of generalized count data regression models, with an emphasis on computational aspects. It is planned to also implement various count data tools in the R system for statistical computing.

Collaborations & Cooperations

2035 - Participation or Organization of Collaborations on an international level

Zeileis, Achim, Professor, Universität Innsbruck, Research cooperation

2023 - Participation or Organization of Collaborations on an international level

Kosmidis, Ioannis, Reader in Data Science, University of Warwick, Research cooperation

Publications

Kleiber, Christian and Zeileis, Achim (2016) ‘Visualizing count data regressions using rootograms’, The American Statistician, 70(3), pp. 296–303. Available at: https://doi.org/10.1080/00031305.2016.1173590.

URLs

Walter, Linda (2016) Three Essays on Nonlinear Regression Models in Econometrics and Actuarial Science. . Translated by Zimmermann Heinz; Kleiber Christian. Dissertation.

Kleiber, Christian and Zeileis, Achim (2014) ‘Visualizing Count Data Regressions Using Rootograms’, WWZ Discussion Papers. WWZ (WWZ Discussion Papers, 13). Available at: http://wwz.unibas.ch/uploads/tx_x4epublication/Rootograms_Kleiber_2014.13_final.pdf.

URLs

Walter, Linda E. (2013) ‘Claim incidence models with varying exposure in automobile insurance’. International Statistical Institute: International Statistical Institute. Available at: http://2013.isiproceedings.org/Files/CPS011-P3-S.pdf.

URLs

Kleiber, Christian and Zeileis, Achim (2008) Applied Econometrics with R, Use R! New York: Springer (Use R!). Available at: https://doi.org/10.1007/978-0-387-77318-6.

URLs

Zeileis, Achim, Kleiber, Christian and Jackman, Simon (2008) ‘Regression models for count data in R’, Journal of Statistical Software, 27(8), pp. 1–25. Available at: https://doi.org/10.18637/jss.v027.i08.

URLs

Regression models for count data

Research Project
|
01.04.2007
- 31.12.2025

Collaborations & Cooperations

2035 - Participation or Organization of Collaborations on an international level

Zeileis, Achim, Professor, Universität Innsbruck, Research cooperation

2023 - Participation or Organization of Collaborations on an international level

Kosmidis, Ioannis, Reader in Data Science, University of Warwick, Research cooperation

Publications

Kleiber, Christian and Zeileis, Achim (2016) ‘Visualizing count data regressions using rootograms’, The American Statistician, 70(3), pp. 296–303. Available at: https://doi.org/10.1080/00031305.2016.1173590.

Walter, Linda (2016) Three Essays on Nonlinear Regression Models in Econometrics and Actuarial Science. . Translated by Zimmermann Heinz; Kleiber Christian. Dissertation.

Kleiber, Christian and Zeileis, Achim (2014) ‘Visualizing Count Data Regressions Using Rootograms’, WWZ Discussion Papers. WWZ (WWZ Discussion Papers, 13). Available at: http://wwz.unibas.ch/uploads/tx_x4epublication/Rootograms_Kleiber_2014.13_final.pdf.

Walter, Linda E. (2013) ‘Claim incidence models with varying exposure in automobile insurance’. International Statistical Institute: International Statistical Institute. Available at: http://2013.isiproceedings.org/Files/CPS011-P3-S.pdf.

Kleiber, Christian and Zeileis, Achim (2008) Applied Econometrics with R, Use R! New York: Springer (Use R!). Available at: https://doi.org/10.1007/978-0-387-77318-6.

Zeileis, Achim, Kleiber, Christian and Jackman, Simon (2008) ‘Regression models for count data in R’, Journal of Statistical Software, 27(8), pp. 1–25. Available at: https://doi.org/10.18637/jss.v027.i08.

Members (4)

Christian Kleiber

Principal Investigator

Kevin Huynh

Project Member

Linda Walter

Project Member

Sinan Acemoglu

Project Member

Research Groups

Econometrics and Statistics (Kleiber)

Regression models for count data

Research Project | 01.04.2007 - 31.12.2025

Collaborations & Cooperations

2035 - Participation or Organization of Collaborations on an international level

Zeileis, Achim, Professor, Universität Innsbruck, Research cooperation

2023 - Participation or Organization of Collaborations on an international level

Kosmidis, Ioannis, Reader in Data Science, University of Warwick, Research cooperation

Publications

Kleiber, Christian and Zeileis, Achim (2016) ‘Visualizing count data regressions using rootograms’, The American Statistician, 70(3), pp. 296–303. Available at: https://doi.org/10.1080/00031305.2016.1173590.

Walter, Linda (2016) Three Essays on Nonlinear Regression Models in Econometrics and Actuarial Science. . Translated by Zimmermann Heinz; Kleiber Christian. Dissertation.

Kleiber, Christian and Zeileis, Achim (2014) ‘Visualizing Count Data Regressions Using Rootograms’, WWZ Discussion Papers. WWZ (WWZ Discussion Papers, 13). Available at: http://wwz.unibas.ch/uploads/tx_x4epublication/Rootograms_Kleiber_2014.13_final.pdf.

Walter, Linda E. (2013) ‘Claim incidence models with varying exposure in automobile insurance’. International Statistical Institute: International Statistical Institute. Available at: http://2013.isiproceedings.org/Files/CPS011-P3-S.pdf.

Kleiber, Christian and Zeileis, Achim (2008) Applied Econometrics with R, Use R! New York: Springer (Use R!). Available at: https://doi.org/10.1007/978-0-387-77318-6.

Zeileis, Achim, Kleiber, Christian and Jackman, Simon (2008) ‘Regression models for count data in R’, Journal of Statistical Software, 27(8), pp. 1–25. Available at: https://doi.org/10.18637/jss.v027.i08.

Members (4)

Christian Kleiber

Principal Investigator

Kevin Huynh

Project Member

Linda Walter

Project Member

Sinan Acemoglu

Project Member

Research Groups

Econometrics and Statistics (Kleiber)

Research Project
|
01.04.2007
- 31.12.2025