Christian Hennig: some recent presentations

Philosophy and foundations of statistics

I have presented much more than I have managed to publish yet of my ideas on the philosophy and foundations of statistics. So here is some material.

The role of model assumptions in statistics. Darmstadt, June 2017.
Video of the RSS discussion meeting on Beyond subjective and objective in statistics (joint work with Andrew Gelman), London, April 2017.
Human decisions in machine learning and statistical data analysis - always required, often ignored. Brussels, April 2017.
Beyond subjective and objective in statistics (joint work with Andrew Gelman). Tilburg, June 2015
Model assumptions and truth in statistics. UCL Science and Technology Studies, February 2015
If all models are wrong , are the robust ones better? The role of robust statistics in a constructivist philosophy of statistics. St. Petersburg, July 2013
Measurement as a constructive act - a statistician's view. Bielefeld, March 2013.
How statisticians quantify evidence. UCL, March 2012 (in the Graduate School series on interdisciplinary studies of evidence)
Statistical models, estimation and reality. UCL, February 2012 (introduction to some statistical concepts for the Energy Institute)

Tutorials

Cluster Analysis (used for STATG019 course 2015/16 and tutorial in Valladolid, January 2017).
Cluster validation, how to think and what to do. COMPSTAT, Oviedo, August 2016.
Clustering with the Gaussian mixture model. ERCIM, London, December 2011.
Tutorial on mixture models (2). Cluster validation, robustness and mixtures of regressions and GLMs. CLADAG, Catania, September 2009.

Other still unpublished material

Decisions that are needed when using cluster analysis, and research that helps with making them. Plenary keynote lecture, IFCS, Tokyo, August 2017.
Gaussian and not-so-Gaussian clustering with robustness against outliers and a stab at the number of clusters (joint work with Pietro Coretto). Model based clustering and classification, Catania, September 2016.
Exploration of the variability of variable selection based on distances between bootstrap sample results (joint work with Willi Sauerbrei). DagStat, Göttingen, March 2016.
Cluster validity indexes: calibration, aggregation, further issues. ERCIM, London, December 2015.
Football and the dark side of cluster analysis (poster, joint work with Serhat Akhanli). Milton Keynes, May 2015.
Discussion of the invited session on the number of clusters. Tilburg, July 2013.
The aggregation of variables in distance design - how to get more out of distance-based methods. London, December 2010.
Discussion of the invited session on data visualisation. Florence, September 2010.
Some thoughts about robust clustering. Aachen, October 2009.