Should we model dependence and nonstationarity, and if so how?

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? We discuss these issues, focusing on three examples: call center arrivals, ambulance travel speeds and wind modeling for America's Cup races.

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