Statistics Colloquium
Friday, March 6, 2015 · 11 AM - 12 PM
Speaker
Prof. Xiaoming Huo
Georgia Institute of Technology
& National Science Foundation
Title
Fast Computing for Statistical Dependency
Abstract:
At the beginning, I will give an overview of my responsibilities at the National Science Foundation. I will focus on these they are related to the statistical science. In the remaining (major) part of this talk, I will describe one of my own recent research: computing for statistical dependence. Distance correlation had been introduced as a better alternative to the celebrated Pearson’s correlation. The existing algorithm for the distance correlation seemingly requires an O(n^2) algorithm, and I will show how it can be done in O(n log n). Moreover, many other statistical dependency related quantities can be computed efficiently. I will give some other examples. The second component is based on a joint work with my NSF colleague, Dr. Gabor Szekely.
