Number of Accidents or Number of Claims? An Approach with Zero-Inflated Poisson Models for Panel Data
By Jean-Philippe Boucher, Michel Denuit, Montserrat Guillén. 2009
94 citations recorded by the source corpus.
Subfields: Demography, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/18f64cd72d5450a9b33767f094485b82bd796554
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
In Economics and Econometrics
- Lluís Bermúdez
- Emiliano A. Valdez
- Dimitris Karlis
- Katrien Antonio
- Ian G. McHale
- Philip A. Scarf
- Rutger Lit
- S. J. Koopman
In Management Science and Operations Research
- Lluís Bermúdez
- Dimitris Karlis
- Emiliano A. Valdez
- Katrien Antonio
- Zinoviy Landsman
- Edward Furman
- Ricardas Zitikis
- Xanthi Pedeli
Citations in the corpus
- Statistical concepts of a priori and a posteriori risk classification in insurance (2011, methodology): “See, for example, Yip and Yau (2005), Boucher et al. (2007) for cross-sectional and Boucher et al. (2009) for longitudinal data.”
- Bayesian multivariate Poisson models for insurance ratemaking (2011, methodology): “The exogenous variables, described in Table 3, were previously used in Pinquet et al. (2001), Brouhns et al. (2003), Bolancé et al. (2003, 2008), Boucher et al. (2007, 2009), Boucher and Denuit (2008) and Bermúdez (2009).”
- Modelling Dependence in a Ratemaking Procedure with Multivariate Poisson Regression Models (2010, methodology): “The exogenous variables, described in Table 3, were previously used in Pinquet et al. (2001), Brouhns et al. (2003), Bolancé et al. (2003, 2008), Boucher et al. (2007, 2009), Boucher and Denuit (2008) and Bermúdez (2009).”