Stochastic Simulation
Application of Stochastic Simulation Methods to System Identification
... The overall goal of the research presented in this dissertation is to demonstrate that stochastic simulation methods are an effective tool for performing parameteric sys- tem identification using a Bayesian ...
176
Modelling and stochastic simulation of synthetic biological Boolean gates
... b) simulation of their behaviour, c) verification of the specification via model checking, and d) eventual compilation into nucleic acid sequences that code for genes implement- ing the desired ...the ...
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Akaroa 2: Exploiting Network Computing by Distributing Stochastic Simulation
... Since the credibility of any performance evaluation study based on stochastic simulation depends on the quality of the PRNs used in the simulation, careful attention has been paid to the choice of ...
12
On the multi-agent stochastic simulation of occupants in buildings
... data-driven stochastic models or BDI rules, usually integrated with a specific dynamic building simulation program, we propose a more general ...building simulation programs; whether at the building ...
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Stochastic Simulation of Multiple-Station Ground Motions and Its Applications
... the stochastic finite-fault method, while reproducing average response spectral characteristics of records, does not reproduce observed spatial correlation, at least for the Chi-Chi ...available stochastic ...
154
STOCHASTIC SIMULATION MODEL FOR A LONG DISTANCE SAND TRANSPORTATION PROCESS
... Stochastic simulation is one of techniques that can be used to predict the productivity of a network of activities while reasonably handling the uncertain conditions of those ...solve stochastic ...
7
On Efficient Algorithms for Stochastic Simulation of Biochemical Reaction Systems
... new simulation algorithm, called RSSA. RSSA is an exact simulation algorithm improving the simulation performance by postponing and collapsing as much as possible the propensity updates, hence ...
172
Automating Parallel and Distributed Quantative Stochastic Simulation
... experiment, simulation output data (observations collected during simulation runs) have to be properly, statistically analysed before any constructive conclusions about the investigated systems or networks ...
175
An economic-risk analysis of alternative rotations by stochastic simulation in Fars province
... study, stochastic simulation is used to generate probability distributions of net present value for alternative rotations by Simetar ...applying stochastic dominance with respect to function (SDRF) ...
6
Stochastic simulation of a DSGE model for Brazil
... Stochastic simulation of a DSGE model for Brazil Sin, Hui Lok and Gaglianone, Wagner Piazza.[r] ...
41
Stochastic simulation for planning optimal log hauling operations
... The formulation of flow charts and sub systems also determines the modelling techniques for time-advance within discrete simulation models. There are two methods for advancing time: by unit and by event. In the ...
401
Emulators for stochastic simulation codes
... Numerical simulation codes are very common tools to study complex ...intrinsically stochastic: if the code is called with the same input several times, the output may ...
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Stochastic Simulation of the Kinetics of Multiple Interacting Nucleic Acid Strands
... What is transition mode? The basic idea is that instead of every system microstate being an interesting piece of the trajectory, we provide (as part of the input) a list T of transition states of the system, the states ...
104
Some aspects of estimation of fractal dimension and stochastic simulation
... In particular , we give a brief introduction to the different definitions of fractal dim ension , and we discuss in some detail the connection between Hausdorff dimension and the roughne[r] ...
142
An Automated Procedure for Stochastic Simulation Input Modeling with Bezier Distributions
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68
Valuing Ecosystem Services in Semi-arid Rangelands through Stochastic Simulation
... Carlo simulation provides a useful ‘first stab’ at calculating total ES ...Carlo simulation is more likely to find widespread application and should be considered more widely for valuing ES provision within ...
25
Multiscale stochastic simulation of transient complex flows
... the simulation, the rheological characteristics including the existence of the second normal stress difference or the shear dependence of visco- metric functions are accurately forecast (Ottinger, 1989b; Zylka, ...
276
Validating material information for stochastic crash simulation
... to stochastic models. The output variation from stochastic models will be compared with physical variation measurements and importantly, for the sensitivity analysis, dependent inputs will be discerned from ...
14
Stochastic streamflow analysis and simulation using disaggregation model
... Water is the main source and very important for the living being to continue and support their life. However, problem related to water become crucial nowadays such as water shortage, drought, floods and many others. This ...
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