Zdravko Botev received his PhD in 2010 from the University of Queensland, Australia. Prior to joining UNSW Sydney as a Lecturer in Statistics, he was awarded postdoctoral fellowships at the Universities of Montreal and Cambridge.
His research interests include: adaptive Monte Carlo methods for rare-event probability estimation, network reliability modeling, kernel density estimation, and model selection methods. He is the author of one of the most widely used Matlab software scripts for nonparametric density estimation.
keywords: rare-event simulation, splitting, multilevel Monte Carlo, Markov chain Monte Carlo, adaptive importance sampling, network reliability