Adventures in stochastic processes
Adventures in stochastic processes
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A Simulation Model for Predicting Yacht Match Race Outcomes
Operations Research
Modeling Daily Arrivals to a Telephone Call Center
Management Science
Dependence modeling for stochastic simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Performance measures for service systems with a random arrival rate
WSC '05 Proceedings of the 37th conference on Winter simulation
Dynamic staffing in a telephone call center aiming to immediately answer all calls
Operations Research Letters
Estimation for nonhomogeneous Poisson processes from aggregated data
Operations Research Letters
Evaluating arrival rate uncertainty in call centers
Proceedings of the 38th conference on Winter simulation
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It can be difficult to develop, fit to data, and generate from, models that capture dependence and/or nonstationarity in simulation inputs. Should we bother? How should we go about it? I will discuss these issues, focusing on three examples: call center arrivals, ambulance travel speeds and wind modeling for America's Cup races.