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Accelerated Regeneration for Markov Chain Simulations
Accelerated Regeneration Markov Chain Simulations
2015/7/8
This paper describes a generalization of the classical regenerative method of simulation output analysis. Instead of blocking a generated sample path on returns to a fixed return state, a more general...
Can the Regenerative Method be Applied to Discrete-Event Simulations?
Regenerative Method Applied Discrete-Event Simulations
2015/7/8
The regenerative method enjoys asymptotic properties that make it a highly desirable approach for steady-state simulation output analysis. It has been shown that virtually all discrete-event simulatio...
Empirical Performance of Bias-reducing Estimators for Regenerative Steady-State Simulations
Bias-reducing estimators regeneration simulation
2015/7/6
When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply takin...
New Estimators for Parallel Steady-State Simulations
Estimators Parallel Steady-State Simulations
2015/7/6
When estimating steady-state parameters in parallel discrete event simulation, initial transient is an important issue to consider. To mitigate the impact of initial condition on the quality of the es...
Computational Framework Incorporating Human Behaviors for Egress Simulations
Building design Computer-aided simulation Emergency services Evacuation
2015/6/30
Studies of past emergency events indicate that evacuating occupants often exhibit social behaviors that affect the evacuationprocess. This paper describes a multiagent-based simulation framework that ...
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Markov chain Monte Carlo Metropolis-Hastings information theory data representation
2011/6/21
The Metropolis-Hastings (MH) algorithm is the prototype for a class of Markov chain Monte Carlo methods
that propose transitions between states and then accept or reject the proposal. These methods g...
Data Driven Computing by the Morphing Fast Fourier Transform Ensemble Kalman Filter in Epidemic Spread Simulations
Data Driven Computing Morphing Fast Fourier Transform Ensemble Kalman Filter Epidemic Spread Simulations
2010/3/11
The FFT EnKF data assimilation method is proposed and applied to a stochastic
cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF
combines spatial statistics and ensemble f...
Application of system dynamics to simulations of product development process management activities
system dynamics product development product development process management human resources in product development
2009/12/1
This article proposes a model for applying System Dynamics to the simulation of
product development process (PDP) management. System dynamics is an approach that enables
one to analyze the behavior ...
Combining Experimental Data and Computer Simulations, With an Application to Flyer Plate Experiments
calibration computer experiments flyer plate experiments Gaussian process model validation predictability predictive science
2009/9/21
A flyer plate experiment involves forcing a plane shock wave through
stationary test samples of material and measuring the free surface velocity of the
target as a function of time. These experiment...
Simulations and Conjectures for Disconnection Exponents
Brownian Motion Disconnection Exponents
2009/5/12
Using Monte-Carlo simulations, we estimate numerically disconnection exponents for planar Brownian motions. These simulations tend to confirm conjectures by Duplantier and Mandelbrot.