Regression in a copula model for bivariate count data
By Aristidis K. Nikoloulopoulos, Dimitris Karlis. 2010
51 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2e0a2d3b6a685152dc84f637781e61dd4a462d8b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Finance
- Lu Yang
- Gee Y. Lee
- Edward W. Frees
- Aristidis K. Nikoloulopoulos
- Haijun Li
- Dimitris Karlis
- Xanthi Pedeli
In Statistics and Probability
- Lu Yang
- Gee Y. Lee
- Edward W. Frees
- Aristidis K. Nikoloulopoulos
- Jun Yan
- Emiliano A. Valdez
- Lluís Bermúdez
- Dimitris Karlis
Citations in the corpus
- Multivariate Frequency-Severity Regression Models in Insurance (2016, background): “In a regression context, this non-identifiability is less likely to be a concern, as noted in [25,29,30,32].”
- Copula-Based Models for Multivariate Discrete Response Data (2013, methodology): “[44, 47]); this is not the case for the FGM and elliptical copulas in (11.”