Piotr Kokoszka, a professor in the Department of Statistics at Colorado State University, has been named a Fellow of the Institute of Mathematical Statistics.
Created in 1935, the institute is a member organization that fosters development and dissemination of the theory and applications of statistics and probability. The organization has 3,500 active members throughout the world. Each Fellow nominee is assessed by a committee of peers for the award. The IMS fellowship is a distinction granted to a handful of senior researchers each year. It contributes to the reputation of the researcher and his/her department.
Kokoszka received the award for fundamental research in applied probability and mathematical statistics, especially on long-range dependence and functional data analysis. His research also includes time series analysis, spatial statistics and asymptotic theory, with applications to geosciences, networks and financial econometrics. He has made influential contribution to the theory of self-similar heavy-tailed models, which play an important role in computer networks traffic modeling.
In collaboration with space physics researchers, Kokoszka has also developed statistical methodologies to quantify transient states of the magnetosphere and decadal trends in the ionosphere.
Additionally, he is associate editor of the Journal of Time Series Analysis; Journal of Multivariate Analysis, Econometrics and Statistics; Computational Statistics and Data Analysis; and Scandinavian Journal of Statistics.
A native of Poland, Kokoszka studied applied mathematics at Wroclaw Technical University and probability theory at Boston University. He held several academic positions before joining the CSU faculty in 2011. In addition to the supportive research environment in the Department of Statistics, he enjoys frequent swims in the CSU Rec Center, and biking along the Poudre River trail.