Stochastic Modeling and Simulation Research
Faculty
Risk and uncertainty is inherent in all real-world systems, and understanding its impact is essential in performance analysis and optimization. Researchers in the IEOR Department at UC Berkeley are developing stochastic models and simulations for applications ranging from call centers to cloud computing, as well as expanding fundamental theory in areas such as stochastic control, semi-Martingale and filtration expansions, the economics of queueing systems, and design of simulation experiments.
Selected Publications
Routing with too much information?
E. Hyytiä, P. Jacko, and R. Righter, “Routing with too much information?” Queueing Systems, vol. 100, pp. 441-443, 2022. https://doi.org/10.1007/s11134-022-09818-y
Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method
Zhang, Haoting and Zheng, Zeyu, Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method (July 27, 2020). Available at SSRN: https://ssrn.com/abstract=3661101 or http://dx.doi.org/10.2139/ssrn.3661101
Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend
P. W. Glynn and Z. Zheng, “Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend,” 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 3764-3773, doi: 10.1109/WSC40007.2019.9004779.
Accommodating New Flights into an Existing Airline Flight Schedule
Ozge Safak, Alper Atamturk and M. Selim Akturk. Accommodating New Flights into an Existing Airline Flight Schedule. Transportation Research Part C 104, 265-286, 2019. https://www.sciencedirect.com/science/article/abs/pii/S0968090X18315602?via%3Dihub.
Simulation and Real-World Evaluation of Attack Detection Schemes
M. Porter, A. Joshi, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan (2019), Simulation and real-world evaluation of attack detection schemes, In Proceedings of the American Control Conference.
A scalable approach to enhancing stochastic kriging with Gradients
Haojun Huo; Xiaowei Zhang; Zeyu Zheng. “A scalable approach to enhancing stochastic kriging with Gradients”. Proceedings of the Winter Simulation Conference.
Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates
Zeyu Zheng, Harsha Honnappa, Peter W. Glynn. “Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates“. Operations Research
Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares
Zheng, Zeyu & Glynn, Peter. (2017). Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. 1740-1749. 10.1109/WSC.2017.8247912.
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