4th International Conference of the ERCIM WG on
17-19 December 2011, Senate House, University of London, UK

Imprecision in Statistical Data Analysis


Different sources of imprecision in connection with both empirical data (especially linguistic data, expert opinions/judgments/perceptions, as well as various kinds of ill-observed statistical data) and/or models may arise in statistical data analysis. Applications are found in different sciences, as Economics, Biomedicine, Bioinformatics, Ecology, Geology, etc. to manage complex problems involving heterogeneous information. Special (but not exclusive) topics are regression, cluster analysis and statistical inference with (fuzzy) set-valued data, belief functions, random sets or imprecise probability models. In spite of the impact of this growing literature, there is room for further developments in several directions, including methods, computation and applications of the use of imprecision in Statistics.


This track offers a forum for discussing and comparing different viewpoints and proposals in this area. Particular topics for contributions of this track are:

This track is associated with the Cost Action IC0702 Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions.

Full papers containing a strong computational or data analytic component will be considered for publication in a Special Issue on Imprecision in Statistical Data Analysis of the journal Computational Statistics and Data Analysis. All submissions must contain original unpublished work not being considered for publication elsewhere. Submissions will be refereed according to standard procedures for CSDA.