Keshav Pokhrel
Machine Learning

Keshav Pokhrel

Associate Professor

Statistics, LSA

Associate Professor of Statistics, Department of Mathematics and Statistics, College of Arts, Sciences and Letters, The University of Michigan-Dearborn

Keshav Pokhrel, PhD, isĀ Assistant Professor of Statistics at the University of Michigan, Dearborn.

Prof. Pokhrel’sĀ research interests include the epidemiology of cancer, time series forecasting, quantile regression and functional data analysis. The skewed and non-normal data are increasingly more frequent than ever before. The data in the extreme ends are of their own importance. Hence the importance of quantile regression. The availability of the information is increasingly functional. My current work is gearing towards functional data analysis techniques such as principal differential analysis which can estimate a system of differential equations to reveal the dynamics of real data.