Outputs (3)

Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices (2012)
Conference Proceeding
Perrakis, K., Karlis, D., Cools, M., Janssens, D., & Wets, G. (2012). Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices. In A. Komarek, & S. Nagy (Eds.),

A Bayesian approach for modeling origin–destination matrices (2012)
Journal Article
Perrakis, K., Karlis, D., Cools, M., Janssens, D., Vanhoof, K., & Wets, G. (2012). A Bayesian approach for modeling origin–destination matrices. Transportation Research Part A: Policy and Practice, 46(1), 200-212. https://doi.org/10.1016/j.tra.2011.06.005

Quantifying input-uncertainty in traffic assignment models (2012)
Presentation / Conference
Perrakis, K., Cools, M., Karlis, D., Janssens, D., Kochan, B., Bellemans, T., & Wets, G. (2012, January). Quantifying input-uncertainty in traffic assignment models. Paper presented at Transportation Research Board 91st Annual Meeting, Washington, DC, United States