Year |
Citation |
Score |
2023 |
Shi Y, Mahdian S, Blanchet J, Glynn P, Shin AY, Scheinker D. Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press. Health Care Management Science. PMID 37665543 DOI: 10.1007/s10729-023-09649-0 |
0.633 |
|
2021 |
Blanchet J, Chen X, Si N, Glynn PW. Efficient Steady-State Simulation of High-Dimensional Stochastic Networks Stochastic Systems. 11: 174-192. DOI: 10.1287/STSY.2021.0077 |
0.342 |
|
2020 |
Zhou Z, Mertikopoulos P, Bambos N, Boyd SP, Glynn PW. On the Convergence of Mirror Descent beyond Stochastic Convex Programming Siam Journal On Optimization. 30: 687-716. DOI: 10.1137/17M1134925 |
0.574 |
|
2018 |
Zhou Z, Bambos N, Glynn P. Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy Operations Research. 66: 1498-1516. DOI: 10.1287/Opre.2018.1747 |
0.544 |
|
2017 |
Master N, Zhou Z, Miller D, Scheinker D, Bambos N, Glynn P. Improving predictions of pediatric surgical durations with supervised learning International Journal of Data Science and Analytics. 4: 35-52. DOI: 10.1007/S41060-017-0055-0 |
0.54 |
|
2016 |
Andradóttir S, Glynn PW. Computing Bayesian means using simulation Acm Transactions On Modeling and Computer Simulation. 26. DOI: 10.1145/2735631 |
0.672 |
|
2016 |
Blanchet J, Glynn P, Zheng S. Analysis of a stochastic approximation algorithm for computing quasi-stationary distributions Advances in Applied Probability. 48: 792-811. DOI: 10.1017/Apr.2016.28 |
0.641 |
|
2015 |
Zhang X, Blanchet J, Giesecke K, Glynn PW. Affine point processes: Approximation and efficient simulation Mathematics of Operations Research. 40: 797-819. DOI: 10.1287/Moor.2014.0696 |
0.682 |
|
2013 |
Chia YL, Glynn PW. Limit theorems for simulation-based optimization via random search Acm Transactions On Modeling and Computer Simulation. 23. DOI: 10.1145/2499913.2499915 |
0.729 |
|
2013 |
Datta Gupta S, Mazumdar RR, Glynn P. On the convergence of the spectrum of finite order approximations of stationary time series Journal of Multivariate Analysis. 121: 1-21. DOI: 10.1016/J.Jmva.2013.05.003 |
0.343 |
|
2013 |
Blanchet J, Glynn P, Meyn S. Large deviations for the empirical mean of an M {pipe} M {pipe} 1 queue Queueing Systems. 73: 425-446. DOI: 10.1007/S11134-013-9349-7 |
0.615 |
|
2012 |
Blanchet J, Glynn P, Leder K. On lyapunov inequalities and subsolutions for efficient importance sampling Acm Transactions On Modeling and Computer Simulation. 22. DOI: 10.1145/2331140.2331141 |
0.66 |
|
2011 |
Olvera-Cravioto M, Blanchet J, Glynn P. On the transition from heavy traffic to heavy tails for the M/G/1 queue: The regularly varying case Annals of Applied Probability. 21: 645-668. DOI: 10.1214/10-Aap707 |
0.67 |
|
2010 |
L'Ecuyer P, Blanchet JH, Tuffin B, Glynn PW. Asymptotic robustness of estimators in rare-event simulation Acm Transactions On Modeling and Computer Simulation. 20. DOI: 10.1145/1667072.1667078 |
0.651 |
|
2009 |
Mandjes M, Norros I, Glynn P. On convergence to stationarity of fractional brownian storage Annals of Applied Probability. 19: 1385-1403. DOI: 10.1214/08-Aap578 |
0.323 |
|
2009 |
Blanchet J, Glynn P, Lam H. Rare event simulation for a slotted time M/G/s model Queueing Systems. 63: 33-57. DOI: 10.1007/S11134-009-9154-5 |
0.666 |
|
2008 |
Blanchet J, Glynn P. Efficient rare-event simulation for the maximum of heavy-tailed random walks Annals of Applied Probability. 18: 1351-1378. DOI: 10.1214/07-Aap485 |
0.69 |
|
2007 |
Plevritis SK, Salzman P, Sigal BM, Glynn PW. A natural history model of stage progression applied to breast cancer. Statistics in Medicine. 26: 581-95. PMID 16598706 DOI: 10.1002/Sim.2550 |
0.661 |
|
2007 |
Blanchet J, Glynn P. Uniform renewal theory with applications to expansions of random geometric sums Advances in Applied Probability. 39: 1070-1097. DOI: 10.1239/Aap/1198177240 |
0.65 |
|
2007 |
Andradóttir S, Glasserman P, Glynn PW, Heidelberger P, Juneja S. Perwez Shahabuddin, 1962 - 2005: A professional appreciation Acm Transactions On Modeling and Computer Simulation. 17. DOI: 10.1145/1225275.1225277 |
0.581 |
|
2007 |
Blanchet J, Glynn P, Liu JC. Fluid heuristics, Lyapunov bounds and efficient importance sampling for a heavy-tailed G/G/1 queue Queueing Systems. 57: 99-113. DOI: 10.1007/S11134-007-9047-4 |
0.684 |
|
2006 |
Plevritis SK, Sigal BM, Salzman P, Rosenberg J, Glynn P. A stochastic simulation model of U.S. breast cancer mortality trends from 1975 to 2000. Journal of the National Cancer Institute. Monographs. 86-95. PMID 17032898 DOI: 10.1093/Jncimonographs/Lgj012 |
0.68 |
|
2006 |
Blanchet J, Glynn P. Complete corrected diffusion approximations for the maximum of a random walk Annals of Applied Probability. 16: 951-983. DOI: 10.1214/105051606000000042 |
0.652 |
|
2006 |
Holliday T, Goldsmith A, Glynn P. Capacity of finite state channels based on lyapunov exponents of random matrices Ieee Transactions On Information Theory. 52: 3509-3532. DOI: 10.1109/Tit.2006.878230 |
0.339 |
|
2005 |
Ward AR, Glynn PW. A diffusion approximation for a GI/GI/1 queue with balking or reneging Queueing Systems. 50: 371-400. DOI: 10.1007/S11134-005-3282-3 |
0.588 |
|
2004 |
Chia YL, Salzman P, Plevritis SK, Glynn PW. Simulation-based parameter estimation for complex models: a breast cancer natural history modelling illustration. Statistical Methods in Medical Research. 13: 507-24. PMID 15587436 DOI: 10.1191/0962280204Sm380Ra |
0.765 |
|
2004 |
Hsieh MH, Iglehart DL, Glynn PW. Empirical performance of bias-reducing estimators for regenerative steady-state simulations Acm Transactions On Modeling and Computer Simulation. 14: 325-343. DOI: 10.1145/1029174.1029175 |
0.703 |
|
2004 |
Duffie D, Glynn P. Estimation of continuous-time markov processes sampled at random time intervals Econometrica. 72: 1773-1808. DOI: 10.1111/J.1468-0262.2004.00553.X |
0.404 |
|
2003 |
Ward AR, Glynn PW. Properties of the Reflected Ornstein-Uhlenbeck Process Queueing Systems. 44: 109-123. DOI: 10.1023/A:1024403704190 |
0.583 |
|
2003 |
Ward AR, Glynn PW. A Diffusion Approximation for a Markovian Queue with Reneging Queueing Systems. 43: 103-128. DOI: 10.1023/A:1021804515162 |
0.57 |
|
2002 |
Ormoneit D, Glynn P. Kernel-based reinforcement learning in average-cost problems Ieee Transactions On Automatic Control. 47: 1624-1636. DOI: 10.1109/Tac.2002.803530 |
0.374 |
|
2002 |
Xia CH, Michailidis G, Bambos N, Glynn PW. Optimal control of parallel queues with batch service Probability in the Engineering and Informational Sciences. 16: 289-307. DOI: 10.1017/S0269964802163029 |
0.603 |
|
2001 |
Simunic T, Benini L, Glynn P, Micheli GD. Event-driven power management Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 20: 840-857. DOI: 10.1109/43.931003 |
0.347 |
|
1999 |
Henderson SG, Glynn PW. Derandomizing Variance Estimators Operations Research. 47: 907-916. DOI: 10.1287/Opre.47.6.907 |
0.301 |
|
1999 |
Wong EW, Glynn PW, Iglehart DL. Transient Simulation Via Empirically Based Coupling Probability in the Engineering and Informational Sciences. 13: 147-167. DOI: 10.1017/S0269964899132029 |
0.687 |
|
1995 |
Glynn PW, Iglehart DL. Trading securities using trailing stops Management Science. 41: 1096-1106. DOI: 10.1287/Mnsc.41.6.1096 |
0.597 |
|
1995 |
Duffie D, Glynn P. Efficient Monte Carlo Simulation of Security Prices Annals of Applied Probability. 5: 897-905. DOI: 10.1214/Aoap/1177004598 |
0.316 |
|
1995 |
Andradóttir S, Calvin JM, Glynn PW. Accelerated regeneration for markov chain simulations Probability in the Engineering and Informational Sciences. 9: 497-523. DOI: 10.1017/S0269964800004022 |
0.653 |
|
1995 |
Glynn PW, Iglehart DL. A Martingale Approach to Regenerative Simulation Probability in the Engineering and Informational Sciences. 9: 123-131. DOI: 10.1017/S0269964800003727 |
0.665 |
|
1994 |
L'Ecuyer P, Glynn PW. Stochastic Optimization by Simulation: Convergence Proofs for the GI/G/1 Queue in Steady-State Management Science. 40: 1562-1578. DOI: 10.1287/Mnsc.40.11.1562 |
0.332 |
|
1993 |
Glynn PW, Iglehart DL. Notes: Conditions for the Applicability of the Regenerative Method Management Science. 39: 1108-1111. DOI: 10.1287/Mnsc.39.9.1108 |
0.672 |
|
1992 |
Glynn PW, Whitt W. The Asymptotic Validity of Sequential Stopping Rules for Stochastic Simulations Annals of Applied Probability. 2: 180-198. DOI: 10.1214/Aoap/1177005777 |
0.366 |
|
1991 |
Glynn PW, Heidelberger P. Analysis of parallel replicated simulations under a completion time constraint Acm Transactions On Modeling and Computer Simulation. 1: 3-23. DOI: 10.1145/102810.102811 |
0.322 |
|
1990 |
Glynn PW, Iglehart DL. Simulation Output Analysis Using Standardized Time Series Mathematics of Operations Research. 15: 1-16. DOI: 10.1287/Moor.15.1.1 |
0.683 |
|
1990 |
Glynn PW. Likelihood ratio gradient estimation for stochastic systems Communications of the Acm. 33: 75-84. DOI: 10.1145/84537.84552 |
0.346 |
|
1989 |
Glynn PW, Iglehart DL. Importance sampling for stochastic simulations Management Science. 35: 1367-1392. DOI: 10.1287/Mnsc.35.11.1367 |
0.695 |
|
1989 |
Glynn PW, Iglehart DL. The optimal linear combination of control variates in the presence of asymptotically negligible bias Naval Research Logistics. 36: 683-692. DOI: 10.1002/1520-6750(198910)36:5<683::Aid-Nav3220360512>3.0.Co;2-L |
0.665 |
|
1988 |
Glynn PW, Iglehart DL. Conditions Under Which a Markov Chain Converges to its Steady State in Finite Time Probability in the Engineering and Informational Sciences. 2: 377-382. DOI: 10.1017/S0269964800000917 |
0.645 |
|
1988 |
Glynn PW, Iglehart DL. A new class of strongly consistent variance estimators for steady-state simulations Stochastic Processes and Their Applications. 28: 71-80. DOI: 10.1016/0304-4149(88)90065-8 |
0.685 |
|
1988 |
Glynn PW, Iglehart DL. Simulation methods for queues: an overview Queueing Systems. 3: 221-255. DOI: 10.1007/Bf01161216 |
0.673 |
|
1987 |
Glynn PW, Iglehart DL. A Joint Central Limit Theorem for the Sample Mean and Regenerative Variance Estimator. Annals of Operations Research. 8: 41-55. DOI: 10.1007/Bf02187081 |
0.686 |
|
1986 |
Glynn PW, Iglehart DL. Estimation of steady-state central moments by the regenerative method of simulation Operations Research Letters. 5: 271-276. DOI: 10.1016/0167-6377(86)90063-5 |
0.666 |
|
Show low-probability matches. |