Research Area
Basic Research
Start Date
2011-01-01
End date
2013-12-31
Status
Finished
Project leaders
de Uña-Álvarez, Jacobo
Members
de Uña-Álvarez, Jacobo; Pardo Fernández, Juan Carlos; Liang, Han-Ying; Iglesias Pérez, María del Carmen; Roca Pardiñas, Javier
Description
In this project up to six basic research lines in statistical mathematics are planned, related to new methods and/or new results in semiparametric and nonparametric estimation and inference techniques. These are:
- New results in nonparametric curve estimation with dependent data, under censoring and truncation conditions.
- Advances in high-dimensional censored regression.
- Advances in nonparametric estimation and inference in multi-state models.
- New goodness-of-fit tests based on smoothing.
- Advances in ROC curves.
- New results and applications in local polynomial regression and GAM.
All these methodological advances are oriented to solve specific problems arising from biomedical sciences, economy, and biology.