Peter W. Glynn
Affiliations: | Stanford University, Palo Alto, CA |
Website:
http://web.stanford.edu/~glynn/Google:
"Peter W. Glynn"Bio:
https://www.columbia.edu/~ww2040/glynn.html
https://books.google.com/books?id=UxY8NwAACAAJ
Parents
Sign in to add mentor| Donald L. Iglehart | grad student | 1982 | Stanford (Computer Science Tree) | |
| (Simulation Output Analysis for General State Space Markov Chains) | ||||
Children
Sign in to add trainee| Sigrun Andradottir | grad student | 1990 | Stanford |
| Amy R. Ward | grad student | 2001 | Stanford |
| Shikhar Ranjan | grad student | 2003 | Stanford (MathTree) |
| Jonathan A. Terra | grad student | 2003 | Stanford (PoliSci Tree) |
| Jose H. Blanchet | grad student | 2004 | Stanford (MathTree) |
| Yen L. Chia | grad student | 2005 | Stanford (MathTree) |
| Peter Salzman | grad student | 2005 | Stanford (MathTree) |
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Publications
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| Shi Y, Mahdian S, Blanchet J, et al. (2023) Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press. Health Care Management Science |
| Blanchet J, Chen X, Si N, et al. (2021) Efficient Steady-State Simulation of High-Dimensional Stochastic Networks Stochastic Systems. 11: 174-192 |
| Zhou Z, Mertikopoulos P, Bambos N, et al. (2020) On the Convergence of Mirror Descent beyond Stochastic Convex Programming Siam Journal On Optimization. 30: 687-716 |
| Zhou Z, Bambos N, Glynn P. (2018) Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy Operations Research. 66: 1498-1516 |
| Master N, Zhou Z, Miller D, et al. (2017) Improving predictions of pediatric surgical durations with supervised learning International Journal of Data Science and Analytics. 4: 35-52 |
| Andradóttir S, Glynn PW. (2016) Computing Bayesian means using simulation Acm Transactions On Modeling and Computer Simulation. 26 |
| Blanchet J, Glynn P, Zheng S. (2016) Analysis of a stochastic approximation algorithm for computing quasi-stationary distributions Advances in Applied Probability. 48: 792-811 |
| Zhang X, Blanchet J, Giesecke K, et al. (2015) Affine point processes: Approximation and efficient simulation Mathematics of Operations Research. 40: 797-819 |
| Chia YL, Glynn PW. (2013) Limit theorems for simulation-based optimization via random search Acm Transactions On Modeling and Computer Simulation. 23 |
| Datta Gupta S, Mazumdar RR, Glynn P. (2013) On the convergence of the spectrum of finite order approximations of stationary time series Journal of Multivariate Analysis. 121: 1-21 |