Michael Grabchak

Michael Grabchak


Education: Ph.D. in Statistics, Cornell University; MS in Statistics, Cornell University

Courses Taught: NA


Dr. Michael Grabchak is a Professor in the Department of Math and Statistics. His expertise lies in Entropy Estimation, Infinitely Divisible Processes, Heavy Tails, and Quantitative Finance. Dr. Grabchak has made significant contributions to the field through his research on Tempered Stable Distributions, providing valuable insights into stochastic models for multiscale processes. He has also contributed to Probability and Statistics on Alphabets. Dr. Grabchak’s research work has been widely published. Notable publications include articles in “The American Statistician,” “Statistics and Computing,” “Econometrics and Statistics,” and “Journal of Statistical Computation and Simulation.”