Arkajyoti Saha

About

Arkajyoti Saha is an Assistant Professor at the University of California, Irvine, specializing in statistical methodologies and their applications in environmental data analysis. His recent research includes topics such as independent sets of Gaussian variables, the use of random forests for spatially dependent data, and scalable prediction models in spatial statistics. Additionally, he has contributed to the statistical calibration of low-cost monitoring networks, focusing on air quality metrics. Dr. Saha's work significantly impacts the field of spatial data analysis and environmental statistics.