public_lecture

A random vector having a distribution which is multivariate regularly varying at infinity can have a dependence structure which is hard to specify in practice. One extreme but not uncommon case is ''asymptotic independence'' which roughly describes the situation where the random vector's components are not simultaneously large. In the absence of fruther assumptions, estimation of the probability of extreme risk sets yields estimates which are null. One way to remedy this is through hidden regular variation which measures variables on a different scale. Another is via conditioning on one component being large and using a limiting distribution as the conditioning variable is pushed to infinity We discuss detection of hidden regular variation along with other extensions into conditional models. An application to network data is provided.

Biography of Sid Resnick

Resnick joined the Cornell faculty in 1987 after nine years at Colorado State University, six years at Stanford University, and two years at the Technion, in Haifa, Israel. He has also held visiting appointments at several institutions, including the University of Amsterdam and the Amsterdam Mathematics Center; the Australian National University and CSIRO, in Canberra, Australia; the Technion in Israel (as a Lady Davis Fellow); Sussex University, in Brighton, UK (as a Science and Engineering Research Council Fellow), Erasmus University, in Rotterdam, The Netherlands; and ETH Zurich. Resnick is a fellow of the Institute of Mathematical Statistics, and while at Colorado State was an Oliver Pennock Distinguished Service Award winner. He was on the Bernoulli Society Committee for Conferences in Stochastic Processes and was on the program committee of the First World Congress of the Bernoulli Society in Tashkent, USSR.

He is a founding associate editor of Annals of Applied Probability, and a current associate editor of Journal of Applied Probability, Stochastic Models, and The Mathematical Scientist. He is a former associate editor of Stochastic Processes and Their Applications. He served a three-year term on the Council of the Institute of Mathematical Statistics and served on their ad hoc committee on electronic publishing. He is currently an editor for Birkhauser, Boston serving on the boards of the Progress in Probability and Progress in Probability and Its Applications series. He is the author of four books and numerous papers. During the past five years he has served as Director of Cornell's School of Operations Research and Industrial Engineering.