Estimation of model primitives based on partial information


This project considers partially observed stochastic networks. The objective is to estimate the model primitives based on samples from the network population. The project combines elements from stochastic operations research and statistics, the primary goal being to produce estimators with provable performance guarantees. 

Supervisors Michel Mandjes (UvA), Liron Ravner (U. of Haifa)
PhD Student

Sreehari Bodas


University of Amsterdam (UvA)


This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement Grant Agreement No 945045.