Panel Discussion: Future Directions and New Challenges in Mathematical Statistics
Peter McCullagh¹, Rosemary Bailey², Xiao-li Meng³, Joan del Castillo⁴, Elvira DiNardo⁵
¹Dept of Statistics, University of Chicago, Chicago, Il, United States; ²Mathematics, Queen Mary College, London, United Kingdom; ³Dept of statistics, Harvard University, Cambridge, MA, United States; ⁴Mathematics, University of Barcelona, Barcelona, Catalonia, Spain; ⁵Mathematics, University of Basicilicata, Potenza, Italy

This will be a broad-ranging discussion of current issues and recent developments in statistical theory and its applications. Topics that may be covered include recent developments of a mathematical type, including random matrices, free probability, cellular automata, Levy processes; developments in combinatorics and experimental design; emerging areas of application in the biological sciences; new algorithmic techniques connected with sparsity, large p, small n problems; issues connected with the use of randomized algorithms for computation; computational developments of a combinatoric or symbolic nature; Network models, machine learning.

Biography: Peter McCullagh has been a Professor of Statistics at the University of Chicago for the past 25 years.