Maria-Pia Victoria-Feser
Full Professor of Statistics
Interests
- Mathematical Statistics
- Computational statistics
- Life sciences analytics
- Data Analytics in Engineering
- Applied Statistics
- High Dimensional Data
- Time Series
- Model Selection
Education
Ph. D. in Econometrics and Statistics, 1993
University of Geneva, Switzerland
Master in Econometrics, 1989
University of Geneva, Switzerland
Preprints
- (2019). A simple recipe for making accurate parametric inference in finite sample. arXiv preprint arXiv:1901.06750.
- (2019). Phase Transition Unbiased Estimation in High Dimensional Settings. arXiv preprint arXiv:1907.11541.
- (2018). On the Properties of Simulation-based Estimators in High Dimensions. arXiv preprint arXiv:1810.04443.
- (2015). A prediction divergence criterion for model selection. arXiv preprint arXiv:1511.04485.
Conference Papers
- (2016). Two-step robust estimation of copulae. International Conference on Robust Statistics.
- (2014). Study of MEMS-based inertial sensors operating in dynamic conditions. 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014.
- (2012). A framework for inertial sensor calibration using complex stochastic error models. Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.