Zobrazeno 1 - 10
of 530
pro vyhledávání: '"Peter W. Glynn"'
Autor:
Eunji Lim, Peter W. Glynn
Publikováno v:
Operations Research. 71:47-60
Predicting Shortages in a Supply Chain Using Simulation A supply chain shortage is a serious problem that can lead to assembly plant shutdowns. However, predicting such shortages using simulation poses a challenge, because the information necessary t
Publikováno v:
Stochastic Systems. 12:373-410
We consider minimizing $f(x) = \mathbb{E}[f(x,\omega)]$ when $f(x,\omega)$ is possibly nonsmooth and either strongly convex or convex in $x$. (I) Strongly convex. When $f(x,\omega)$ is $\mu-$strongly convex in $x$, we propose a variable sample-size a
Publikováno v:
Queueing Systems. 100:61-91
Autor:
Ana M. Palacio-Castro, Tyler B. Smith, Viktor Brandtneris, Grace A. Snyder, Ruben van Hooidonk, Juan L. Maté, Derek Manzello, Peter W. Glynn, Peggy Fong, Andrew C. Baker
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Climate change is radically altering coral reef ecosystems, mainly through increasingly frequent and severe bleaching events. Yet, some reefs have exhibited higher thermal tolerance after bleaching severely the first time. To understand changes in th
Autor:
Peter W. Glynn, Rob J. Wang
Publikováno v:
Stochastic Processes and their Applications.
Autor:
Chang-Han Rhee, Peter W. Glynn
Publikováno v:
Mathematics of Operations Research.
We consider a family of Markov chains whose transition dynamics are affected by model parameters. Understanding the parametric dependence of (complex) performance measures of such Markov chains is often of significant interest. The derivatives and th
Publikováno v:
2022 Winter Simulation Conference (WSC).
Publikováno v:
Operations Research. 69:1566-1574
In many operations management settings, the arrival process to the system exhibits clear nonstationarities. These nonstationarities may arise as a consequence of time-of-day effects, day-of-week effects, seasonalities, or stochastic fluctuations in t
Autor:
Peter W. Glynn
Publikováno v:
Queueing Systems. 100:169-171
Publikováno v:
Mathematics of Operations Research. 46:946-969
We study statistical inference and distributionally robust solution methods for stochastic optimization problems, focusing on confidence intervals for optimal values and solutions that achieve exact coverage asymptotically. We develop a generalized e