Dr Ludger Evers

  • Lecturer (Statistics)

telephone: 5174
email: Ludger.Evers@glasgow.ac.uk


Personal website

Research Interests

My research focuses on methodological aspects of statistical methods in machine learning, partition and mixture-based models, and non-linear dimension reduction. Application areas of my research include astronomy, engineering, environmental modelling and microarray data analysis.

Research Groups

Jump to: 2012 | 2010 | 2009 | 2008 | 2005
Number of items: 9.

2012

Einbeck, J., Isaac, B., Evers, L., and Parente, A. (2012) Penalized Regression on Principal Manifolds with Application to Combustion Modelling. In: Proceedings of the 27th International Workshop on Statistical Modelling.

Molinari, D., Evers, L., and Bowman, A. (2012) Smoothing Parameter Selection for Spatiotemporal Models with Application to the Analysis of Contaminants in Groundwater. In: Proceedings of the 27th International Workshop on Statistical Modelling, 16-20 July 2012, Prague, Czech Republic.

2010

Einbeck, J., Evers, L., and Powell, B. (2010) Data Compression and Regression Through Local Principal Curves and Surfaces. International Journal of Neural Systems, 20 (3). pp. 177-192. ISSN 0129-0657 (doi:10.1142/S0129065710002346)

Einbeck, J., and Evers, L. (2010) Localized regression on principal manifolds. In: 25th International Workshop on Statistical Modelling (IWSM 2010), 5-9 Jul 2010, Glasgow, UK.

Einbeck, J., Evers, L., and Hinchliff, K. (2010) Data compression and regression based on local principal curves. In: Fink, A., Lausen, B., Seidel, W. and Ultsch, A. (eds.) Advances in Data Analysis, Data Handling and Business Intelligence. Springer, pp. 701-712.

2009

Evers, L., and Heaton, T. J. (2009) Locally Adaptive Tree-Based Thresholding. Journal of Computational and Graphical Statistics, 18 (4). pp. 961-977. ISSN 1061-8600 (doi:10.1198/jcgs.2009.07109)

2008

Evers, L., and Messow, C.-M. (2008) Sparse kernel methods for high-dimensional survival data. Bioinformatics, 24 (14). pp. 1632-1638. ISSN 1367-4803 (doi:10.1093/bioinformatics/btn253)

Einbeck, J., Evers, L., and Bailer-Jones, C. (2008) Representing complex data using localized principal components with application to astronomical data. Lecture Notes in Computational Science and Engineering, 58 . pp. 178-201. ISSN 1439-7358 (doi:10.1007/978-3-540-73750-6_7)

2005

Einbeck, J., Tutz, G., and Evers, L. (2005) Local principal curves. Statistics and Computing, 15 (4). pp. 301-313. ISSN 0960-3174 (doi:10.1007/s11222-005-4073-8)

This list was generated on Sun May 19 17:16:21 2013 BST.

Current PhD students

Charalampos Chanialidis (Bayesian mixture models for quantile regression)
Rob Donald (Online Assessment of Event Prediction Models)
Daniel Molinari (Spatiotemporal modeling of groundwater contaminants)

This year I am teaching the following courses:

  • Statistics 2R - Probability
  • Introduction to R
  • Statistical Data Mining