I am interested in quantile regression and in its application. I have co-authored two Wiley monographs and several papers on this theme
Exploratory data analysis
Much of my research deal with exploratory data analysis. In particular I wrote some papers on archetypal analysis and on the use of permutation tests for automatically detecting partitions starting from a dendrogram
Part of my research focus on the use of statistical models. In particular I have published on statistical models for portfolio benchmarking and for style management
I am really interested in visualization techniques. I have co-authored a chapter on visualization tools in exploratory data analysis in a Springer handbook of data-visualization
One of my main interest is in computational statistics and in data technologies. Actually I am experienced the R software and its use for research and teaching, exploiting research reproducible tools and integration with the Web
I am interested in strategies and tools for efficiently teaching statistics. Part of my works concerns such fascinating topic
DESPOTA (DEndogram Slicing through a PermutatiOn Test Approach) is a novel approach exploiting permutation tests in order to automatically detect a partition among those embedded in a dendrogram. Unlike the traditional approach, DESPOTA includes in the search space also partitions not corresponding to horizontal cuts of the dendrogram.