Penalized regression on principal manifolds with application to combustion modelling

Einbeck, J.; Isaac, B.; Evers, L.; Parente, A.

All Outputs (2)

Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices (2012)
Presentation / Conference Contribution
Perrakis, K., Karlis, D., Cools, M., Janssens, D., & Wets, G. (2012, December). Poisson mixture regression for Bayesian inference on large over-dispersed transportation origin-destination matrices. Presented at 27th International Workshop on Statistical Modelling, Prague

Penalized regression on principal manifolds with application to combustion modelling (2012)
Presentation / Conference Contribution
Einbeck, J., Isaac, B., Evers, L., & Parente, A. (2012, December). Penalized regression on principal manifolds with application to combustion modelling. Presented at International workshop on statistical modelling, Prague

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.