Declarative Statistics

Event Date: 17 November 2017

Speaker: Dr Roberto Rossi, University of Edinburgh

Time 4.30pm

Location: Strathclyde Business School, Cathedral Wing, CW507b

Title : Declarative Statistics           

Abstract: In this work we introduce declarative statistics, a suite of declarative modelling tools for statistical analysis. Statistical constraints represent the key building block of declarative statistics. We discuss a selection of novel statistical constraints; this toolbox can be used to tackle a wide range of problems typically encountered in statistics. We deploy these statistical constraints on a wide range of application areas drawn from classical statistics and we contrast our framework against established practices.

Biography: Dr. Roberto Rossi holds a B.Eng. and a M.Eng. from the University of Bologna (Italy), and a Ph.D. from the University College Cork (Ireland). He is currently a Reader in Management Science at the University of Edinburgh (UK) and Fellow of the UK Higher Education Academy. His research focuses on automated reasoning. He develop systems that aim to be robust and scalable in such a way as to enable computers to act intelligently in increasingly complex real world settings and in uncertain environments.  He conducts cross-disciplinary methodological as well as applied research in decision making under uncertainty, artificial intelligence, operational research and supply chain management. He has over fifty intellectual contributions in flagship international journals and conference proceedings.

 

Published: 16 November 2017



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