Departments of Mathematics, Economics
Associate Director Politis is an internationally known scholar in mathematics and economics, working on time series, bootstrap methods, and nonparametric estimation, and a researcher with authorship of more than 100 journal papers and monographs.
Politis brings cross-discipline expertise to the Institute in mathematics, economics, computer science, statistics and engineering. In addition to serving as Distinguished Professor of Mathematics since 2016, he is affiliated with the university’s Department of Economics. Since the early 1990s, he has pioneered numerous novel methods for subsampling and resampling time series data with potential applications to economics, engineering, geostatistics, biostatistics, bioinformatics, medicine, ecology, forestry, seismology, and meteorology. One aspect of Politis’ research focuses on the statistical analysis of time series -- data collected sequentially over time such as daily stock prices, and random fields, i.e., data collected over a spatial domain such as temperatures recorded across California at all measuring locations on a certain day. For his work on Model-free Prediction, Politis was awarded a Guggenheim Fellowship in 2011. Since 2013, he has served as co-editor of the Journal of Time Series Analysis, and he is past co-editor of the Journal of Nonparametric Statistics. He has served on the editorial boards of more than 15 academic journals and book series including the recent Springer series Frontiers in Probability and Statistical Science. Politis earned his Ph.D. in statistics from Stanford University, and dual masters’ degrees from Stanford in statistics and mathematics. He also holds a master’s degree from Rensselaer Polytechnic Institute in computer and systems engineering, and his bachelor of science degree in electrical engineering from University of Patras in Greece. Website: www.math.ucsd.edu/~politis