STAD (www.stad.unina.it/2016/) research group aims at spreading the successful adoption of statistical approach and data analysis in various fields of research so to foster the value chain that leads from raw data to knowledge, according to a well-known scientific paradigm based on the statistical learning. STAD embodies professors and researchers enrolled by different departments at UniNA (DII, DSES, DSP). Moreover it is a hub connecting statisticians who work in the academia as well as in public and private sectors in Italy and abroad allowing the integration of different methodological research activities along with applications. STAD’s vision is "Make it better with Statistics, Technology, Analysis of Data!".
In the research frameworks of Statistical Learning and Computational Statistics the domains expertise of STAD are:

  • Classification and RegressionTrees;
  • Bibliometric methods;
  • Preference rankings;
  • Directional statistics;
  • Functional data analysis;
  • Data fusion;
  • Statistical multi scale modeling.

STAD senior members have been responsible of many scientific projects funded by EU and national institutions. Recently STAD been involved into a huge H2020 project about informing NEXUS security (i.e. sustains policy makers for the governance of water-energy-food and land use nexus by sound statistics) called MAGIC: www.magic-nexus.eu.

Team coordinator

 

 

Roberta Siciliano

Team members

 

 

 

Michele Staiano
Carmela Iorio
Giuseppe Pandolfo
Massimo Aria
Antonio D'Ambrosio
Alfonso Piscitelli