Outputs (2)

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.),

Penalized regression on principal manifolds with application to combustion modelling (2012)
Conference Proceeding
Einbeck, J., Isaac, B., Evers, L., & Parente, A. (2012). Penalized regression on principal manifolds with application to combustion modelling. In A. Komarek, & S. Nagy (Eds.), 27th International Workshop on Statistical Modelling, 16-20 July 2012, Prague, Czech Republic ; proceedings (117-122)

For multivariate regression problems featuring strong and non–linear dependency patterns between the involved predictors, it is attractive to reduce the dimension of the estimation problem by approximating the predictor space through a principal surf... Read More about Penalized regression on principal manifolds with application to combustion modelling.