Monte Carlo performance simulation
Tensor CP Decomposition with Structured Factor Matrices: Algorithms and Performance
... numerical simulation scenarios, in which specialized estimators are proposed for concrete examples of SCPDs involving circulant ...statistical performance of the proposed estimators is assessed via ...
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Vol 10, No 7 (2019)
... the performance of the classical (Zellner’s and Parks’) estimators and the proposed (ridge) estimators has been examined by a Monte Carlo simulation ...
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Comparative Performance Analysis of 4G LTE Network using Monte Carlo Simulation
... Monte-Carlo simulation results, using the Link Level LTE Simulator, are also provided to prove the accuracy of the ...for Monte-Carlo simulations are summarized in Table ...BER ...
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Multi asset Spread Option Pricing and Hedging
... the performance of our meth- ods and other existing methods, including Monte Carlo simulation, Carmona and Durrleman’s method and numerical ...
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Monte Carlo simulation as a service in the Cloud
... use Monte Carlo simulations, that is because they write their code and perform their simulations on the desktop (MacKenzie and Spears, ...the Monte Carlo calculations in the Cloud, it can ...
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Monte carlo simulation of the CGMY process and option pricing
... the performance of MC-FT with the existing Monte Carlo methods of Poirot and Tankov (PT) (Poirot and Tankov, 2006), Madan and Yor (MY) (Madan and Yor, 2008), Baeumer and Meerschaert (AR) (Baeumer and ...
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Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation
... The requirements quality performance distribution was fed back into the BBN model to calculate the number of requirements defects created during a project. Data from earlier projects was used as a baseline for ...
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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
... (Multilevel Monte Carlo path simulation Operations Research, 2008; 56: 607–617) introduced a multi-level Monte Carlo method for approximating the expected value of a function of a ...
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Performance of missing transverse momentum reconstruction with the ATLAS detector using proton proton collisions at root s=13 TeV
... from performance evaluations and the determination of systematic ...the Monte Carlo (MC) simulation samples are presented in Section ...miss performance in Section ...reconstruction ...
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Baseball Portfolio Optimization
... This research effort explores strategies to optimize the allocation of a baseball team’s resources in the free agent market. In this effort, we use a portfolio optimization approach and explore a variety of baseball ...
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Exact Monte Carlo simulation of killed diffusions
... to Monte Carlo methods to estimate ν . In this simulation study, we investigate the performance of the estimator of ν produced by the Exact Monte Carlo method (hereafter E ...a ...
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Monte Carlo Simulation and Improvement of Variance Reduction Techniques
... of Monte Carlo ...introduce Monte Carlo simulation firstly; then enumerate several commonly used methods of variance reduction and furtherly combine them to study whether it improves ...
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Life-cycle risk (damage stability) management of passenger ships
... measuring performance, reviewing and auditing (shown in figure ...‘Measuring performance’ refers as measurement and verification of the effectiveness the implemented measures; ‘Reviewing and Auditing’ ...
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A New Approach to Monte Carlo Simulation of Operations
... Abstract—Monte Carlo simulation are a wide class of computational algorithms that use repeated random sampling to arrive at numerical ...a simulation is run repeatedly in order to obtain the ...
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MONTE-CARLO SIMULATION OF ROAD TRANSPORT EMISSION
... such simulation processes in MS Excel environment and made it viable to run the simulation within a reasonable ...the simulation had been running Intel® Core™ Duo CPU T2250 ...the simulation ...
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OPTION PRICING USING MONTE CARLO SIMULATION
... (2009), simulation is a statistics-based behavioural approach that applies predetermined probability distributions and random numbers to es- timate risky ...that simulation is the imitation of a real world ...
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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media
... Many of the existing variance reduction methods built upon pseudo-random sequences, e.g. MLMC, are focused on reducing the overall computational cost of a numerical simulation. QMC methods aim to accelerate the ...
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Implementation of Board Games Using Monte Carlo Simulation
... ABSTRACT: Monte Carlo simulation is a problem solving technique that is used to approximate the probability of certain outcomes based on running simulations multiple ...A Monte Carlo ...
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MONTE CARLO SIMULATION IN INTERNAL RADIOTHERAPY OF THYROID CANCER
... Thyroid radiotherapy is a cancer therapy that is treated by giving radioactive I-131 in Thyroid gland. This cancer is at the ninth from ten of common malignant cancer. A man has higher risk to get Thyroid cancer than a ...
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Topological analysis in Monte Carlo simulation for uncertainty propagation
... Global (top row) and top five most significant topological signatures vertical cross sections of information entropy uncertainty index models for the low-input data confidence run.... To[r] ...
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