Stanford University - Walker-Ames Distinguished Visitor
Special Probability Seminar
Random matrix theory uses the eigenvalue distribution of typical, large matrices to model natural phenomena. I will show that these models give remarkable fits to a large real data set (50,000 zeros of Riemanns zeta function). This opens up new problems in testing goodness of fit with dependent data.