I am happy to announce that my recent paper entitled “Big Data for Finite Population Inference: Applying Quasi-Random Approaches to Naturalistic Driving Data using Bayesian Additive Regression Trees” has been published in the Journal of Survey Statistics and methodology, which is co-authored with professors Michael R. Elliott and Carol A. C. Flannagan Please find the paper in the following link.
I am a Survey Methodologist with a solid background in Statistics and Epidemiology! I received my Bachelor’s degree in Statistics from Ferdowsi University of Mashhad in 2008, and then, graduated in master of Biostatistics from Tehran University of Medical Sciences. My theoretical interests are mainly focused on survey statistics, mixture models, and Bayesian inference. The applied area of my research concerns with disease modeling and statistical problems that arise in the surveillance systems. I am currently a PhD student in Survey Methodology at the University of Michigan.