We study the important problem of how to assure credible forecast information sharing between a supplier and a … possesses private forecast information for her end product. We address how different contracts affect the supplier's capacity … explicit formulae) to enable credible forecast information sharing. The first is a nonlinear capacity reservation contract …

We investigate the decision heuristics used by experts to forecast that early-stage ventures are subsequently … flaws and positive factors to arrive at a forecast. A conjunctive model is used to describe their process, which sums "good …

global warming policies. Because there are typically profound uncertainties in these models, a simulation approach is often …

portfolios of credit-sensitive assets such as loans and corporate bonds. Monte Carlo simulation is an important tool for … performing computations in these models. This paper develops, analyzes, and evaluates two simulation algorithms for intensity … Zeevi, stochastic models and simulation.</i> …

Sequential sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the …, as is common in the literature. <i>This paper was accepted by Assaf Zeevi, stochastic models and simulation.</i> …

simulation experiment. We also show how different definitions of the sample space yield different variants of the LR method, some …

the problem of using simulation to estimate the number of transitions it takes the process to enter \scr{A}. Using …

In a discrete-event simulation, the information related to the events scheduled to occur in the future is kept in a …

approach to simulate comparative solutions for specific contracts under different parametric settings. Through a simulation …