ABSTRACT PANEL ON CURRENT ISSUES IN SIMULATION INPUT MODELING (2009)
E. Yücesan, J. L. Snowdon, J. M. Charnes, Russell R. Barton, Stephen E. Chick, ...
In recent years, substantial progress has been made in the development of powerful new approaches to modeling and generation of the stochastic input processes driving simulation models. In this panel...
OVERVIEW OF AN ECONOMIC ANALYSIS OF SIMULATION SELECTION PROBLEMS (2008)
S. Robinson, S. Taylor, S. Brailsford, J. Garnett, Stephen E. Chick, Noah Gans
This paper summarizes a new approach that we recently proposed for ranking and selection problems, one that maximizes the expected NPV of decisions made when using stochastic or discrete-event...
Richard C. Larson, Stephen E. Chick
“Simple Models of Influenza Progression within a Heterogeneous Population ” targets the important goal of engaging the operations research (OR) community to work on challenging and important...
S. G. Henderson, B. Biller, J. Shortle, J. D. Tew, R. R. Barton, ...
Statistical selection procedures can identify the best of a finite set of alternatives, where “best ” is defined in terms of the unknown expected value of each alternative’s simulation output....
Abstract Chapter 9: Subjective Probability and Bayesian Methodology (2008)
Subjective probability and Bayesian methods provide a unified approach to handle not only randomness from stochastic sample-paths, but also uncertainty about input parameters and response metamodels....
Chick Selecting a Selection Procedure (2008)
Jürgen Branke, Stephen E. Chick, Christian Schmidt
1 There are a plethora of ranking and selection approaches
Proceedings of the 2002 Winter Simulation Conference (2008)
Ycesan Chen Snowdon, E. Yücesan, J. L. Snowdon, J. M. Charnes, Stephen E. Chick
One goal in simulation experimentation is to identify which input parameters most significantly influence the mean of simulation output. Another goal is to obtain good parameter estimates for a...
ABSTRACT SELECTING THE BEST SYSTEM: A DECISION-THEORETIC APPROACH (2007)
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general, and permits...
Further Enhancing the Efficiency of Ordinal Optimization (2007)
Chun-hung Chen, Jianwu Lin, Enver Yücesan, Stephen E. Chick
Ordinal Optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be achieved in many cases. In this paper, we present a new approach that...
Proceedings of the 2002 Winter Simulation Conference (2007)
Ycesan Chen Snowdon, E. Yücesan, J. L. Snowdon, J. M. Charnes, Russell R. Barton, ...
In recent years, substantial progress has been made in the development of powerful new approaches to modeling and generation of the stochastic input processes driving simulation models. In this panel...
A Taxonomy of Model Structures for Economic Evaluation of Health Technologies (2006)
Alan Brennan, Stephen E. Chick, Ruth Davies
Models for the economic evaluation of health technologies provide valuable information to decision makers. The choice of model structure is rarely discussed in published studies and can affect the...
Stephen E. Chick, Andrew L. Adams, S. Koopman
Deterministic differential equation models indicate that partnership concurrency and non-homogeneous mixing patterns play an important role in the spread of sexually-transmitted infections....
Bias reduction for risk ratio and vaccine effect estimators (2001)
Chick, Stephen E., Barth-Jones, Daniel C., Koopman, James S.
We examine the structural bias for established estimators of vaccine effects on susceptibility and for newer estimates of vaccine effects on infectiousness. We then propose and analyse new bias...
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)
Chen, Chun-Hung, Lin, Jianwu, Yücesan, Enver, Chick, Stephen E.
Ordinal Optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be achieved in many cases. In this paper, we present a new approach that...
Koichiro Inoue, Stephen E. Chick
An important problem in discrete-event stochastic simulation is the selection of the best system from a finite set of alternatives. There are many techniques for ranking and selection and multiple...
Bayesian Analysis For Simulation Input And Output (1997)
The paper summarizes some important results at the intersection of the Bayesian statistics and simulation fields. Two statistical analysis issues for stochastic simulation are discussed in further...