Daniel Kowal, Rice University assistant professor of statistics, won an honorable mention from the American Statistical Association’s section of Business and Economic Statistics.
His Ph.D. thesis, “Bayesian Methods for Functional and Time Series Data,” was submitted for the Arnold Zellner Thesis Award in Econometrics and Statistics and received the only honorable mention given this year.
The Zellner award is given annually to the best Ph.D. thesis dealing with an applied problem in business and economic statistics, and is intended to recognize outstanding work by promising young researchers in the field.
“The thesis joins a distinguished list of previous dissertations earning the same award,” said Todd Clark, chair of the section and co-editor of the Journal of Business and Economic Statistics (JBES). “We were fortunate — and challenged — to receive a number of excellent submissions for the award this year.”
Kowal will be recognized at the Joint Statistical Meetings in Vancouver this summer, along with Zellner winner Laura Liu, who completed her dissertation at the University of Pennsylvania.
Kowal joined Rice in 2017 after he earned his Ph.D. in statistical science with a minor in finance from Cornell University. He received a B.A. in mathematics from Washington University in St. Louis in 2012 and a master’s degree in statistics from Cornell in 2015.
His research focuses on developing statistical methodologies for massive data sets with complex dependence structures, including functional, time series and spatial data. He said he is excited about the increased awareness there is for statistics and its many applications.
“It’s becoming accessible to so many more people,” he said. “I think when you start to study statistics you realize how broadly applicable it is, but it doesn’t mean people are interested in using statistical methods. It’s something people are becoming more open to and seek out on their own.”
Read more about Assistant Professor Dan Kowal here.