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Statistics Colloquium

Location

Mathematics/Psychology : 106

Date & Time

April 3, 2015, 11:00 am12:00 pm

Description

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.