The Hotelling Lectures are an annual event in the Department of Statistics & Operations Research at the University of North Carolina – Chapel Hill, honoring the memory of Professor Harold Hotelling (first chairman of the “Department of Mathematical Statistics”, as it was originally named at the time of its inception in 1946). A distinguished guest speaker presents a series of talks (which are open to the public) and remains in residence at the Department for several days. The inaugural Hotelling Lectures were given by David R. Cox in 1980, followed in subsequent years by these other distinguished speakers: Herman Chernoff, Ole Barndorff-Nielsen, Frank Hampel, David Brillinger, David Kendall, Persi Diaconis, Pal Revesz, Willem van Zwet, C.R. Rao, Bradley Efron, Lucien LeCam, Peter Bickel, Ulf Grenander, Larry Shepp, David Donoho, David Siegmund, Herbert Robbins, Lawrence D. Brown, Nancy Reid, S.R.S. Varadhan, Stuart Geman, Iain Johnstone, Peter Hall, Ruth J. Williams, Terry Speed, Thomas Kurtz, Peter McCullagh, Richard Davis, Yuval Peres and Dimitris Bertsimas.
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Steven N. Evans, Departments of Mathematics and Statistics, University of California at Berkeley Title: Some mathematical insights into aging and mortality Abstract: In 1825 Benjamin Gompertz noted that, to a reasonable approximation, mortality rates after maturity in the British population increased exponentially with age. This unexpected yet simple relationship has since been seen in many multi-cellular organisms. Recently, it has been observed that this exponential increase appears to level off in extreme old age. I will discuss ongoing work…Find out more »
The fundamental theorem of arithmetic for metric measure spaces A metric measure space (mms) is a complete, separable metric space equipped with a probability measure that has full support. A fundamental insight of Gromov is that the space of such objects is much ``tamer'' than the space of complete, separable metric spaces per se because mms carry within themselves a canonical family of approximations by finite structures: one takes the random mms that arises from picking some number of points…Find out more »